This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the examples folder, as well as examples from the README file.
The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples.
The following commits are part of this Pull Request:
Create GitHub Actions YAML configuration file
Files: .github/workflows/test_examples.yml
Configure triggers, runner and checkout step for workflow
Files: .github/workflows/test_examples.yml
Install Python, cache dependencies, and install required dependencies
Files: .github/workflows/test_examples.yml
Run examples from the examples folder
Files: .github/workflows/test_examples.yml
Extract and run examples from the README file
Files: .github/workflows/test_examples.yml
Status
This pull request was being autonomously generated by AutoPR, but it encountered an error.
Error:
Traceback (most recent call last):
File "/app/autopr/agents/brain_agent/base.py", line 73, in generate_pr
self._generate_pr(event)
File "/app/autopr/agents/brain_agent/simple_v1.py", line 42, in _generate_pr
self.commit_service.commit(current_commit, push=True)
File "/app/autopr/services/commit_service.py", line 78, in commit
self.repo.git.execute(["git", "push", "-f", "origin", self.branch_name])
File "/venv/lib/python3.9/site-packages/git/cmd.py", line 1109, in execute
raise GitCommandError(redacted_command, status, stderr_value, stdout_value)
git.exc.GitCommandError: Cmd('git') failed due to: exit code(1)
cmdline: git push -f origin autopr/9
stderr: 'remote: Resolving deltas: 0% (0/2)
remote: Resolving deltas: 50% (1/2)
remote: Resolving deltas: 100% (2/2)
remote: Resolving deltas: 100% (2/2), completed with 2 local objects.
To https://github.com/hardbyte/qabot
! [remote rejected] autopr/9 -> autopr/9 (refusing to allow a GitHub App to create or update workflow `.github/workflows/test_examples.yml` without `workflows` permission)
error: failed to push some refs to 'https://github.com/hardbyte/qabot''
✅ Planned pull request
> Running rail InitialFileSelect in two steps...
>
>
> Ran raw query
>
> >
> > Prompt
> >
> > Hey, somebody just opened an issue in my repo, could you help me write a pull request?
> >
> > The issue is:
> > ```#9 Add github actions tests
> >
> > hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file.
> >
> > ```
> >
> > The list of files in the repo is:
> > ```.gitignore (14 tokens)
> > LICENSE (3168 tokens)
> > README.md (1544 tokens)
> > poetry.lock (161369 tokens)
> > pyproject.toml (308 tokens)
> > data/records.json (410 tokens)
> > data/titanic.csv (30946 tokens)
> > examples/query_file.py (57 tokens)
> > examples/query_wikidata.py (52 tokens)
> > experiments/__init__.py (0 tokens)
> > experiments/flan_query_planner.py (1307 tokens)
> > experiments/local_llm.py (527 tokens)
> > experiments/query_decomposer.py (1871 tokens)
> > qabot/__init__.py (255 tokens)
> > qabot/caching.py (682 tokens)
> > qabot/cli.py (2663 tokens)
> > qabot/config.py (164 tokens)
> > qabot/duckdb_manual_data_loader.py (1324 tokens)
> > qabot/duckdb_query.py (645 tokens)
> > qabot/progress_callback.py (1045 tokens)
> > .github/workflows/autopr.yml (512 tokens)
> > qabot/agents/__init__.py (0 tokens)
> > qabot/agents/agent.py (1700 tokens)
> > qabot/agents/data_query_chain.py (3532 tokens)
> > qabot/tools/__init__.py (0 tokens)
> > qabot/tools/describe_duckdb_table.py (184 tokens)
> > qabot/tools/duckdb_execute_tool.py (364 tokens)
> > qabot/tools/wikidata.py (1043 tokens)```
> >
> > Should we take a look at any files? If so, pick only a few files (max 5000 tokens).
> > Respond with a very short rationale, and a list of files.
> > If looking at files would be a waste of time with regard to the issue, respond with an empty list.
> >
Response
To address the issue regarding adding GitHub Actions tests, we should mainly focus on creating a new workflow file within the `.github/workflows/` directory. Checking the existing `autopr.yml` workflow file might be helpful to ensure consistency in the workflow style. Additionally, we will need to review the examples in the `examples` folder and the `README.md` file to understand the required tests.
Here's the list of files to look at:
- .github/workflows/autopr.yml
- README.md
- examples/query_file.py
- examples/query_wikidata.py
InitialFileSelectResponse: Parsed output
>
> Prompt
>
>
> ```
> To address the issue regarding adding GitHub Actions tests, we should mainly focus on creating a new workflow file within the `.github/workflows/` directory. Checking the existing `autopr.yml` workflow file might be helpful to ensure consistency in the workflow style. Additionally, we will need to review the examples in the `examples` folder and the `README.md` file to understand the required tests.
>
> Here's the list of files to look at:
> - .github/workflows/autopr.yml
> - README.md
> - examples/query_file.py
> - examples/query_wikidata.py
> ```
>
> If looking at files would be a waste of time, please submit an empty list.
>
>
> Given below is XML that describes the information to extract from this document and the tags to extract it into.
>
> ```xml
>
> ```
>
>
> ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise.
>
> Here are examples of simple (XML, JSON) pairs that show the expected behavior:
> - `` => `{'foo': 'example one'}`
> - `` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}`
> - `` => `{'baz': {'foo': 'Some String', 'index': 1}}`
>
>
Ran raw query
>
> Prompt
>
> Hey, somebody just submitted an issue, could you own it, and write a pull request?
>
> The issue that was opened:
> ```#9 Add github actions tests
>
> hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file.
>
> ```
>
> We've decided to look at these files:
> ```>>> Path: README.md:
>
> 0 # qabot
> 1
> 2 Query local or remote files with natural language queries powered by
> 3 `langchain` and `gpt` and `duckdb` 🦆.
> 4
> 5 Can query Wikidata and local files.
> 6
> 7 ## Command Line Usage
> 8
> 9 ```bash
> 10 $ EXPORT OPENAI_API_KEY=sk-...
> 11 $ EXPORT QABOT_MODEL_NAME=gpt-4
> 12 $ qabot -w -q "How many Hospitals are there located in Beijing"
> 13 Query: How many Hospitals are there located in Beijing
> 14 There are 39 hospitals located in Beijing.
> 15 Total tokens 1749 approximate cost in USD: 0.05562
> 16 ```
> 17
> 18 ## Python Usage
> 19
> 20 ```python
> 21 from qabot import ask_wikidata, ask_file
> 22
> 23 print(ask_wikidata("How many hospitals are there in New Zealand?"))
> 24 print(ask_file("How many men were aboard the titanic?", 'data/titanic.csv'))
> 25 ```
> 26
> 27 Output:
> 28 ```text
> 29 There are 54 hospitals in New Zealand.
> 30 There were 577 male passengers on the Titanic.
> 31 ```
> 32
> 33
> 34 ## Features
> 35
> 36 Works on local CSV files:
> 37
> 38 
> 39
> 40 remote CSV files:
> 41
> 42 ```
> 43 $ qabot \
> 44 -f https://www.stats.govt.nz/assets/Uploads/Environmental-economic-accounts/Environmental-economic-accounts-data-to-2020/renewable-energy-stock-account-2007-2020-csv.csv \
> 45 -q "How many Gigawatt hours of generation was there for Solar resources in 2015 through to 2020?"
> 46 ```
> 47
> 48
> 49 Even on (public) data stored in S3:
> 50
> 51 
> 52
> 53 You can even load data from disk via the natural language query, but that doesn't always work...
> 54
> 55
> 56 > "Load the file 'data/titanic_survival.parquet' into a table called 'raw_passengers'. Create a view of the raw passengers table for just the male passengers. What was the average fare for surviving male passengers?"
> 57
> 58
> 59 After a bit of back and forth with the model, it gets there:
> 60
> 61 > The average fare for surviving male passengers from the 'male_passengers' view where the passenger survived is 40.82. I ran the query: SELECT AVG(Fare) FROM male_passengers WHERE Survived = 1 AND Sex = 'male';
> 62 The average fare for surviving male passengers is 40.82.
> 63
> 64
> 65 ## Quickstart
> 66
> 67 You need to set the `OPENAI_API_KEY` environment variable to your OpenAI API key,
> 68 which you can get from [here](https://platform.openai.com/account/api-keys).
> 69
> 70 Install the `qabot` command line tool using pip/poetry:
> 71
> 72
> 73 ```bash
> 74 $ pip install qabot
> 75 ```
> 76
> 77 Then run the `qabot` command with either local files (`-f my-file.csv`) or `-w` to query wikidata.
> 78
> 79
> 80 ## Examples
> 81
> 82 ### Local CSV file/s
> 83
> 84 ```bash
> 85 $ qabot -q "how many passengers survived by gender?" -f data/titanic.csv
> 86 🦆 Loading data from files...
> 87 Loading data/titanic.csv into table titanic...
> 88
> 89 Query: how many passengers survived by gender?
> 90 Result:
> 91 There were 233 female passengers and 109 male passengers who survived.
> 92
> 93
> 94 🚀 any further questions? [y/n] (y): y
> 95
> 96 🚀 Query: what was the largest family who did not survive?
> 97 Query: what was the largest family who did not survive?
> 98 Result:
> 99 The largest family who did not survive was the Sage family, with 8 members.
> 100
> 101 🚀 any further questions? [y/n] (y): n
> 102 ```
> 103
> 104
> 105 ## Query WikiData
> 106
> 107 Use the `-w` flag to query wikidata. For best results use the `gpt-4` model.
> 108 ```bash
> 109 $ EXPORT QABOT_MODEL_NAME=gpt-4
> 110 $ qabot -w -q "How many Hospitals are there located in Beijing"
> 111 ```
> 112
> 113 ## Intermediate steps and database queries
> 114
> 115 Use the `-v` flag to see the intermediate steps and database queries.
> 116 Sometimes it takes a long route to get to the answer, but it's interesting to see how it gets there.
> 117
> 118 ```
> 119 qabot -f data/titanic.csv -q "how many passengers survived by gender?" -v
> 120 ```
> 121
> 122 ## Data accessed via http/s3
> 123
> 124 Use the `-f ` flag to load data from a url, e.g. a csv file on s3:
> 125
> 126 ```bash
> 127 $ qabot -f s3://covid19-lake/enigma-jhu-timeseries/csv/jhu_csse_covid_19_timeseries_merged.csv -q "how many confirmed cases of covid are there?" -v
> 128 🦆 Loading data from files...
> 129 create table jhu_csse_covid_19_timeseries_merged as select * from 's3://covid19-lake/enigma-jhu-timeseries/csv/jhu_csse_covid_19_timeseries_merged.csv';
> 130
> 131 Result:
> 132 264308334 confirmed cases
> 133 ```
> 134
> 135 ## Links
> 136
> 137 - [Python library docs](https://langchain.readthedocs.io)
> 138 - [Agent docs to talk to arbitrary apis via OpenAPI/Swagger](https://langchain.readthedocs.io/en/latest/modules/agents/agent_toolkits/openapi.html)
> 139 - [Agents/Tools to talk SQL](https://langchain.readthedocs.io/en/latest/modules/agents/agent_toolkits/sql_database.html)
> 140 - [Typescript library](https://hwchase17.github.io/langchainjs/docs/overview/)
> 141
> 142
> 143 ## Ideas
> 144
> 145 - streaming mode to output results as they come in
> 146 - token limits
> 147 - Supervisor agent - assess whether a query is "safe" to run, could ask for user confirmation to run anything that gets flagged.
> 148 - Often we can zero-shot the question and get a single query out - perhaps we try this before the MKL chain
> 149 - test each zeroshot agent individually
> 150 - Generate and pass back assumptions made to the user
> 151 - Add an optional "clarify" tool to the chain that asks the user to clarify the question
> 152 - Create a query checker tool that checks if the query looks valid and/or safe
> 153 - Inject AWS credentials into duckdb so we can access private resources in S3
> 154 - Better caching
> >>> Path: examples/query_file.py:
>
> 0 from qabot import ask_file
> 1
> 2
> 3 if __name__ == '__main__':
> 4 result = ask_file("How many men were aboard the titanic?", 'data/titanic.csv')
> 5 print(result)
> >>> Path: examples/query_wikidata.py:
>
> 0 from qabot import ask_wikidata
> 1
> 2
> 3 if __name__ == '__main__':
> 4 result = ask_wikidata("How many hospitals are there in New Zealand?")
> 5 print(result)
> >>> Path: .github/workflows/autopr.yml:
>
> 0 on:
> 1 issues:
> 2 types: [labeled]
> 3
> 4 permissions:
> 5 contents: write
> 6 issues: write
> 7 pull-requests: write
> 8
> 9 jobs:
> 10 autopr:
> 11 if: ${{ contains( github.event.label.name, 'AutoPR') }}
> 12 runs-on: ubuntu-latest
> 13 steps:
> 14 - name: Install jq
> 15 run: sudo apt-get install jq
> 16 - name: Check if label was added by a collaborator
> 17 env:
> 18 GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
> 19 run: |
> 20 is_collaborator=$(curl -s -H "Authorization: token $GITHUB_TOKEN" -H "Accept: application/vnd.github+json" \
> 21 "https://api.github.com/repos/${{ github.repository }}/collaborators/${{ github.event.sender.login }}" | jq -r '.message')
> 22 if [ "$is_collaborator" == "Not Found" ]; then
> 23 echo "Label not added by a collaborator. Skipping action."
> 24 exit 78
> 25 fi
> 26 - name: Checkout
> 27 uses: actions/checkout@v2
> 28 with:
> 29 ref: main
> 30 fetch-depth: 1
> 31 - name: AutoPR
> 32 uses: docker://ghcr.io/irgolic/autopr:latest
> 33 env:
> 34 OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
> 35 with:
> 36 model: gpt-4
> 37 github_token: ${{ secrets.GITHUB_TOKEN }}```
>
> The list of files in the repo that we haven't taken a look at yet:
> ```.gitignore (14 tokens)
> LICENSE (3168 tokens)
> poetry.lock (161369 tokens)
> pyproject.toml (308 tokens)
> data/records.json (410 tokens)
> data/titanic.csv (30946 tokens)
> experiments/__init__.py (0 tokens)
> experiments/flan_query_planner.py (1307 tokens)
> experiments/local_llm.py (527 tokens)
> experiments/query_decomposer.py (1871 tokens)
> qabot/__init__.py (255 tokens)
> qabot/caching.py (682 tokens)
> qabot/cli.py (2663 tokens)
> qabot/config.py (164 tokens)
> qabot/duckdb_manual_data_loader.py (1324 tokens)
> qabot/duckdb_query.py (645 tokens)
> qabot/progress_callback.py (1045 tokens)
> qabot/agents/__init__.py (0 tokens)
> qabot/agents/agent.py (1700 tokens)
> qabot/agents/data_query_chain.py (3532 tokens)
> qabot/tools/__init__.py (0 tokens)
> qabot/tools/describe_duckdb_table.py (184 tokens)
> qabot/tools/duckdb_execute_tool.py (364 tokens)
> qabot/tools/wikidata.py (1043 tokens)```
>
> Take some notes that will help us plan our code commits, in an effort to close the issue.
> Also, should we take a look at any other files? If so, pick only a few files (max 5000 tokens).
> Respond with some very brief notes, and a list of files to continue looking at.
> If looking at files would be a waste of time with regard to the issue, respond with an empty list.
>
Response
To resolve the issue and implement the GitHub Actions workflow, we should create a new YAML file in the `.github/workflows/` directory. This workflow will be responsible for running the examples from the `examples` folder and the README file.
Here are the steps we need to follow:
1. Create a new YAML file in the `.github/workflows/` directory (e.g., `test_examples.yml`).
2. Define the events that trigger the workflow (e.g., push and pull_request events).
3. Use a suitable runner, such as `ubuntu-latest`.
4. Checkout the source code using the `actions/checkout@v2` action.
5. Install the required dependencies (e.g., Python and necessary packages).
6. Run the examples present in the `examples` folder.
7. Extract examples from the README file and execute them.
Additional files to look at (total tokens: 308 + 14):
- `pyproject.toml`: To understand the project dependencies and Python version.
- `.gitignore`: To ensure the new YAML file is not ignored by git.
These are the brief notes and files that we should focus on to close the issue.
LookAtFilesResponse: Parsed output
>
> Prompt
>
>
> ```
> To resolve the issue and implement the GitHub Actions workflow, we should create a new YAML file in the `.github/workflows/` directory. This workflow will be responsible for running the examples from the `examples` folder and the README file.
>
> Here are the steps we need to follow:
> 1. Create a new YAML file in the `.github/workflows/` directory (e.g., `test_examples.yml`).
> 2. Define the events that trigger the workflow (e.g., push and pull_request events).
> 3. Use a suitable runner, such as `ubuntu-latest`.
> 4. Checkout the source code using the `actions/checkout@v2` action.
> 5. Install the required dependencies (e.g., Python and necessary packages).
> 6. Run the examples present in the `examples` folder.
> 7. Extract examples from the README file and execute them.
>
> Additional files to look at (total tokens: 308 + 14):
> - `pyproject.toml`: To understand the project dependencies and Python version.
> - `.gitignore`: To ensure the new YAML file is not ignored by git.
>
> These are the brief notes and files that we should focus on to close the issue.
> ```
>
> If looking at files would be a waste of time, please submit an empty list.
>
>
> Given below is XML that describes the information to extract from this document and the tags to extract it into.
>
> ```xml
>
> ```
>
>
> ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise.
>
> Here are examples of simple (XML, JSON) pairs that show the expected behavior:
> - `` => `{'foo': 'example one'}`
> - `` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}`
> - `` => `{'baz': {'foo': 'Some String', 'index': 1}}`
>
>
Raw Response
{
"notes": "To resolve the issue and implement the GitHub Actions workflow, create a new YAML file in the .github/workflows/ directory (e.g., test_examples.yml). Define the events that trigger the workflow (e.g., push and pull_request events). Use a suitable runner, such as ubuntu-latest. Checkout the source code using the actions/checkout@v2 action. Install the required dependencies (e.g., Python and necessary packages). Run the examples present in the examples folder. Extract examples from the README file and execute them.",
"filepaths_we_should_look_at": [
"pyproject.toml",
".gitignore"
]
}
Parsed Response
{
"filepaths_we_should_look_at": [
"pyproject.toml",
".gitignore"
],
"notes": "To resolve the issue and implement the GitHub Actions workflow, create a new YAML file in the .github/workflows/ directory (e.g., test_examples.yml). Define the events that trigger the workflow (e.g., push and pull_request events). Use a suitable runner, such as ubuntu-latest. Checkout the source code using the actions/checkout@v2 action. Install the required dependencies (e.g., Python and necessary packages). Run the examples present in the examples folder. Extract examples from the README file and execute them."
}
Running rail ContinueLookingAtFiles in two steps...
Ran raw query
>
> Prompt
>
> Hey, somebody just submitted an issue, could you own it, and write a pull request?
>
> The issue that was opened:
> ```#9 Add github actions tests
>
> hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file.
>
> ```
>
> Some notes we've taken while looking at files so far:
> ```To resolve the issue and implement the GitHub Actions workflow, create a new YAML file in the .github/workflows/ directory (e.g., test_examples.yml). Define the events that trigger the workflow (e.g., push and pull_request events). Use a suitable runner, such as ubuntu-latest. Checkout the source code using the actions/checkout@v2 action. Install the required dependencies (e.g., Python and necessary packages). Run the examples present in the examples folder. Extract examples from the README file and execute them.```
>
> We've decided to look at these files:
> ```>>> Path: .gitignore:
>
> 0 __pycache__
> 1
> 2 qabot/__pycache__
> >>> Path: pyproject.toml:
>
> 0 [tool.poetry]
> 1 name = "qabot"
> 2 version = "0.3.4"
> 3 license = "Apache-2.0"
> 4 description = "Query local or remote data files with natural language queries powered by OpenAI and DuckDB."
> 5 authors = ["Brian Thorne "]
> 6 readme = "README.md"
> 7 packages = [{include = "qabot"}]
> 8
> 9 [tool.poetry.scripts]
> 10 qabot = "qabot.cli:run"
> 11
> 12
> 13 [tool.poetry.dependencies]
> 14 python = "^3.10"
> 15 langchain = "^0.0.149"
> 16 openai = "^0.27.4"
> 17 duckdb = "^0.7.1"
> 18 typer = "^0.7.0"
> 19 rich = "^13.3.3"
> 20 httpx = "^0.24.0"
> 21
> 22
> 23 [tool.poetry.group.embedding]
> 24 optional = true
> 25
> 26 [tool.poetry.group.embedding.dependencies]
> 27 beautifulsoup4 = "^4.11.2"
> 28 chromadb = "^0.3.10"
> 29
> 30
> 31 [build-system]
> 32 requires = ["poetry-core"]
> 33 build-backend = "poetry.core.masonry.api"```
>
> The list of files in the repo that we haven't taken a look at yet:
> ```LICENSE (3168 tokens)
> poetry.lock (161369 tokens)
> data/records.json (410 tokens)
> data/titanic.csv (30946 tokens)
> experiments/__init__.py (0 tokens)
> experiments/flan_query_planner.py (1307 tokens)
> experiments/local_llm.py (527 tokens)
> experiments/query_decomposer.py (1871 tokens)
> qabot/__init__.py (255 tokens)
> qabot/caching.py (682 tokens)
> qabot/cli.py (2663 tokens)
> qabot/config.py (164 tokens)
> qabot/duckdb_manual_data_loader.py (1324 tokens)
> qabot/duckdb_query.py (645 tokens)
> qabot/progress_callback.py (1045 tokens)
> qabot/agents/__init__.py (0 tokens)
> qabot/agents/agent.py (1700 tokens)
> qabot/agents/data_query_chain.py (3532 tokens)
> qabot/tools/__init__.py (0 tokens)
> qabot/tools/describe_duckdb_table.py (184 tokens)
> qabot/tools/duckdb_execute_tool.py (364 tokens)
> qabot/tools/wikidata.py (1043 tokens)```
>
> Take some notes that will help us plan commits and write code to fix the issue.
> Also, let me know if we should take a look at any other files – our budget is 5000 tokens.
>
Response
To resolve issue #9, create and implement a GitHub Actions workflow for testing examples. The following steps outline the process:
1. Create a new YAML file in the .github/workflows/ directory (e.g., test_examples.yml).
2. Define the events that trigger the workflow (e.g., push and pull_request events).
3. Use a suitable runner, such as ubuntu-latest.
4. Checkout the source code using the actions/checkout@v2 action.
5. Install Python 3.10, as specified in pyproject.toml.
6. Cache the dependencies using actions/cache, which will speed up the workflow by only installing dependencies when necessary.
7. Install the required dependencies using `poetry install`.
8. Run the examples present in the examples folder. To do this, you can use a Python script that iterates through the files in the folder and executes them using the `exec()` function.
9. Extract examples from the README file and execute them. To achieve this, you can use a Python script that reads the content of the README.md file, searches for code snippets (e.g., by looking for triple backticks), and executes the code using the `exec()` function.
In addition to the files you have already looked at, you might want to review the following files:
- examples folder (if it exists): This folder should contain examples that need to be executed as part of the workflow.
- README.md: Review the examples in the file to ensure they are executable and correctly formatted.
Here's a list of commits to implement the changes:
1. Commit 1: Create the GitHub Actions workflow file (test_examples.yml) with the initial configuration (triggers, runner, checkout action).
2. Commit 2: Install Python and cache the dependencies in the workflow file.
3. Commit 3: Install the required dependencies using `poetry install` in the workflow file.
4. Commit 4: Add a Python script to run the examples in the examples folder and execute it in the workflow.
5. Commit 5: Add a Python script to extract and run examples from the README file and execute it in the workflow.
After completing these steps, submit a pull request to merge your changes.
LookAtFilesResponse: Parsed output
>
> Prompt
>
>
> ```
> To resolve issue #9, create and implement a GitHub Actions workflow for testing examples. The following steps outline the process:
>
> 1. Create a new YAML file in the .github/workflows/ directory (e.g., test_examples.yml).
>
> 2. Define the events that trigger the workflow (e.g., push and pull_request events).
>
> 3. Use a suitable runner, such as ubuntu-latest.
>
> 4. Checkout the source code using the actions/checkout@v2 action.
>
> 5. Install Python 3.10, as specified in pyproject.toml.
>
> 6. Cache the dependencies using actions/cache, which will speed up the workflow by only installing dependencies when necessary.
>
> 7. Install the required dependencies using `poetry install`.
>
> 8. Run the examples present in the examples folder. To do this, you can use a Python script that iterates through the files in the folder and executes them using the `exec()` function.
>
> 9. Extract examples from the README file and execute them. To achieve this, you can use a Python script that reads the content of the README.md file, searches for code snippets (e.g., by looking for triple backticks), and executes the code using the `exec()` function.
>
> In addition to the files you have already looked at, you might want to review the following files:
>
> - examples folder (if it exists): This folder should contain examples that need to be executed as part of the workflow.
> - README.md: Review the examples in the file to ensure they are executable and correctly formatted.
>
> Here's a list of commits to implement the changes:
>
> 1. Commit 1: Create the GitHub Actions workflow file (test_examples.yml) with the initial configuration (triggers, runner, checkout action).
> 2. Commit 2: Install Python and cache the dependencies in the workflow file.
> 3. Commit 3: Install the required dependencies using `poetry install` in the workflow file.
> 4. Commit 4: Add a Python script to run the examples in the examples folder and execute it in the workflow.
> 5. Commit 5: Add a Python script to extract and run examples from the README file and execute it in the workflow.
>
> After completing these steps, submit a pull request to merge your changes.
> ```
>
> If looking at files would be a waste of time, please submit an empty list.
>
>
> Given below is XML that describes the information to extract from this document and the tags to extract it into.
>
> ```xml
>
> ```
>
>
> ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise.
>
> Here are examples of simple (XML, JSON) pairs that show the expected behavior:
> - `` => `{'foo': 'example one'}`
> - `` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}`
> - `` => `{'baz': {'foo': 'Some String', 'index': 1}}`
>
>
Raw Response
{
"notes": "To resolve issue #9, create and implement a GitHub Actions workflow for testing examples. This involves creating a new YAML file, defining triggers, using a suitable runner, checking out the source code, installing Python, caching dependencies, installing required dependencies, running examples in the examples folder, and extracting examples from the README file.",
"filepaths_we_should_look_at": [
".github/workflows/test_examples.yml",
"examples",
"README.md"
]
}
Parsed Response
{
"filepaths_we_should_look_at": [
".github/workflows/test_examples.yml",
"examples",
"README.md"
],
"notes": "To resolve issue #9, create and implement a GitHub Actions workflow for testing examples. This involves creating a new YAML file, defining triggers, using a suitable runner, checking out the source code, installing Python, caching dependencies, installing required dependencies, running examples in the examples folder, and extracting examples from the README file."
}
Running rail ProposePullRequest in two steps...
Ran raw query
>
> Prompt
>
> Hey somebody just submitted an issue, could you own it, write some commits, and a pull request?
>
> These are notes we took while looking at the repo:
> ```To resolve the issue and implement the GitHub Actions workflow, create a new YAML file in the .github/workflows/ directory (e.g., test_examples.yml). Define the events that trigger the workflow (e.g., push and pull_request events). Use a suitable runner, such as ubuntu-latest. Checkout the source code using the actions/checkout@v2 action. Install the required dependencies (e.g., Python and necessary packages). Run the examples present in the examples folder. Extract examples from the README file and execute them.
> To resolve issue #9, create and implement a GitHub Actions workflow for testing examples. This involves creating a new YAML file, defining triggers, using a suitable runner, checking out the source code, installing Python, caching dependencies, installing required dependencies, running examples in the examples folder, and extracting examples from the README file.```
>
> This is the issue that was opened:
> ```#9 Add github actions tests
>
> hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file.
>
> ```
>
> When you're done, send me the pull request title, body, and a list of commits, each coupled with which files we should be looking at to write the commit's code.
> Ensure you specify the files relevant to the commit, especially if the commit is a refactor.
> Folders are created automatically; do not make them in their own commit.
>
Response
I'm an AI language model, so I cannot directly interact with repositories, but I can help you plan the commits and the pull request. Here's the plan:
Pull Request Title:
```Add GitHub Actions Workflow for Testing Examples (Issue #9)```
Pull Request Body:
```
This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file.
The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples.
The following commits are part of this Pull Request:
1. Create GitHub Actions YAML configuration file
- Files: `.github/workflows/test_examples.yml`
2. Configure triggers, runner and checkout step for workflow
- Files: `.github/workflows/test_examples.yml`
3. Install Python, cache dependencies, and install required dependencies
- Files: `.github/workflows/test_examples.yml`
4. Run examples from the examples folder
- Files: `.github/workflows/test_examples.yml`
5. Extract and run examples from the README file
- Files: `.github/workflows/test_examples.yml`
```
List of commits:
1. Commit: Create GitHub Actions YAML configuration file
- File: `.github/workflows/test_examples.yml`
```
name: Test Examples
on:
push:
branches: [ main ]
pull_request:
branches: [ main ]
```
2. Commit: Configure triggers, runner and checkout step for workflow
- File: `.github/workflows/test_examples.yml`
```
jobs:
test-examples:
runs-on: ubuntu-latest
steps:
- name: Checkout source code
uses: actions/checkout@v2
```
3. Commit: Install Python, cache dependencies, and install required dependencies
- File: `.github/workflows/test_examples.yml`
```
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: 3.x
- name: Cache dependencies
uses: actions/cache@v2
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
restore-keys: |
${{ runner.os }}-pip-
- name: Install dependencies
run: pip install -r requirements.txt
```
4. Commit: Run examples from the examples folder
- File: `.github/workflows/test_examples.yml`
```
- name: Run examples in examples folder
run: |
for example in examples/*.py; do
python $example
done
```
5. Commit: Extract and run examples from the README file
- File: `.github/workflows/test_examples.yml`
```
- name: Extract and run examples from README
run: |
EXAMPLES=$(awk '/^```python/,/^```/' README.md | grep -v '```')
echo "$EXAMPLES" > README_examples.py
python README_examples.py
```
Now you can implement these commits and create the pull request. Let me know if you need any additional guidance or help.
PullRequestDescription: Parsed output
>
> Prompt
>
>
> ```
> I'm an AI language model, so I cannot directly interact with repositories, but I can help you plan the commits and the pull request. Here's the plan:
>
> Pull Request Title:
> ```Add GitHub Actions Workflow for Testing Examples (Issue #9)```
>
> Pull Request Body:
> ```
> This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file.
>
> The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples.
>
> The following commits are part of this Pull Request:
>
> 1. Create GitHub Actions YAML configuration file
> - Files: `.github/workflows/test_examples.yml`
>
> 2. Configure triggers, runner and checkout step for workflow
> - Files: `.github/workflows/test_examples.yml`
>
> 3. Install Python, cache dependencies, and install required dependencies
> - Files: `.github/workflows/test_examples.yml`
>
> 4. Run examples from the examples folder
> - Files: `.github/workflows/test_examples.yml`
>
> 5. Extract and run examples from the README file
> - Files: `.github/workflows/test_examples.yml`
> ```
>
> List of commits:
>
> 1. Commit: Create GitHub Actions YAML configuration file
> - File: `.github/workflows/test_examples.yml`
> ```
> name: Test Examples
>
> on:
> push:
> branches: [ main ]
> pull_request:
> branches: [ main ]
> ```
>
> 2. Commit: Configure triggers, runner and checkout step for workflow
> - File: `.github/workflows/test_examples.yml`
> ```
> jobs:
> test-examples:
> runs-on: ubuntu-latest
>
> steps:
> - name: Checkout source code
> uses: actions/checkout@v2
> ```
>
> 3. Commit: Install Python, cache dependencies, and install required dependencies
> - File: `.github/workflows/test_examples.yml`
> ```
> - name: Set up Python
> uses: actions/setup-python@v2
> with:
> python-version: 3.x
>
> - name: Cache dependencies
> uses: actions/cache@v2
> with:
> path: ~/.cache/pip
> key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
> restore-keys: |
> ${{ runner.os }}-pip-
>
> - name: Install dependencies
> run: pip install -r requirements.txt
> ```
>
> 4. Commit: Run examples from the examples folder
> - File: `.github/workflows/test_examples.yml`
> ```
> - name: Run examples in examples folder
> run: |
> for example in examples/*.py; do
> python $example
> done
> ```
>
> 5. Commit: Extract and run examples from the README file
> - File: `.github/workflows/test_examples.yml`
> ```
> - name: Extract and run examples from README
> run: |
> EXAMPLES=$(awk '/^```python/,/^```/' README.md | grep -v '```')
> echo "$EXAMPLES" > README_examples.py
> python README_examples.py
> ```
>
> Now you can implement these commits and create the pull request. Let me know if you need any additional guidance or help.
> ```
>
>
> Given below is XML that describes the information to extract from this document and the tags to extract it into.
>
> ```xml
>
> ```
>
>
> ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise.
>
> Here are examples of simple (XML, JSON) pairs that show the expected behavior:
> - `` => `{'foo': 'example one'}`
> - `` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}`
> - `` => `{'baz': {'foo': 'Some String', 'index': 1}}`
>
>
Raw Response
{
"title": "Add GitHub Actions Workflow for Testing Examples (Issue #9)",
"body": "This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file.\n\nThe workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples.\n\nThe following commits are part of this Pull Request:\n\n1. Create GitHub Actions YAML configuration file\n - Files: `.github/workflows/test_examples.yml`\n\n2. Configure triggers, runner and checkout step for workflow\n - Files: `.github/workflows/test_examples.yml`\n\n3. Install Python, cache dependencies, and install required dependencies\n - Files: `.github/workflows/test_examples.yml`\n\n4. Run examples from the examples folder\n - Files: `.github/workflows/test_examples.yml`\n\n5. Extract and run examples from the README file\n - Files: `.github/workflows/test_examples.yml`",
"commits": [
{
"commit_message": "Create GitHub Actions YAML configuration file",
"relevant_file_hunks": [
{
"filepath": ".github/workflows/test_examples.yml",
"start_line": 1,
"end_line": 7
}
],
"commit_changes_description": "- Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch."
},
{
"commit_message": "Configure triggers, runner and checkout step for workflow",
"relevant_file_hunks": [
{
"filepath": ".github/workflows/test_examples.yml",
"start_line": 8,
"end_line": 14
}
],
"commit_changes_description": "- Configure the workflow to run on the ubuntu-latest runner and add the checkout step to clone the source code."
},
{
"commit_message": "Install Python, cache dependencies, and install required dependencies",
"relevant_file_hunks": [
{
"filepath": ".github/workflows/test_examples.yml",
"start_line": 15,
"end_line": 30
}
],
"commit_changes_description": "- Set up Python 3.x, cache pip dependencies, and install the required dependencies from the requirements.txt file."
},
{
"commit_message": "Run examples from the examples folder",
"relevant_file_hunks": [
{
"filepath": ".github/workflows/test_examples.yml",
"start_line": 31,
"end_line": 35
}
],
"commit_changes_description": "- Add a step to run all Python examples in the examples folder."
},
{
"commit_message": "Extract and run examples from the README file",
"relevant_file_hunks": [
{
"filepath": ".github/workflows/test_examples.yml",
"start_line": 36,
"end_line": 42
}
],
"commit_changes_description": "- Add a step to extract Python code examples from the README file and run them."
}
]
}
Parsed Response
{
"title": "Add GitHub Actions Workflow for Testing Examples (Issue #9)",
"body": "This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file.\n\nThe workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples.\n\nThe following commits are part of this Pull Request:\n\n1. Create GitHub Actions YAML configuration file\n - Files: `.github/workflows/test_examples.yml`\n\n2. Configure triggers, runner and checkout step for workflow\n - Files: `.github/workflows/test_examples.yml`\n\n3. Install Python, cache dependencies, and install required dependencies\n - Files: `.github/workflows/test_examples.yml`\n\n4. Run examples from the examples folder\n - Files: `.github/workflows/test_examples.yml`\n\n5. Extract and run examples from the README file\n - Files: `.github/workflows/test_examples.yml`",
"commits": [
{
"commit_message": "Create GitHub Actions YAML configuration file",
"relevant_file_hunks": [
{
"filepath": ".github/workflows/test_examples.yml",
"start_line": 1,
"end_line": 7
}
],
"commit_changes_description": "- Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch."
},
{
"commit_message": "Configure triggers, runner and checkout step for workflow",
"relevant_file_hunks": [
{
"filepath": ".github/workflows/test_examples.yml",
"start_line": 8,
"end_line": 14
}
],
"commit_changes_description": "- Configure the workflow to run on the ubuntu-latest runner and add the checkout step to clone the source code."
},
{
"commit_message": "Install Python, cache dependencies, and install required dependencies",
"relevant_file_hunks": [
{
"filepath": ".github/workflows/test_examples.yml",
"start_line": 15,
"end_line": 30
}
],
"commit_changes_description": "- Set up Python 3.x, cache pip dependencies, and install the required dependencies from the requirements.txt file."
},
{
"commit_message": "Run examples from the examples folder",
"relevant_file_hunks": [
{
"filepath": ".github/workflows/test_examples.yml",
"start_line": 31,
"end_line": 35
}
],
"commit_changes_description": "- Add a step to run all Python examples in the examples folder."
},
{
"commit_message": "Extract and run examples from the README file",
"relevant_file_hunks": [
{
"filepath": ".github/workflows/test_examples.yml",
"start_line": 36,
"end_line": 42
}
],
"commit_changes_description": "- Add a step to extract Python code examples from the README file and run them."
}
]
}
📝 Result
> Title: Add GitHub Actions Workflow for Testing Examples (Issue #9)
>
> This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file.
>
> The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples.
>
> The following commits are part of this Pull Request:
>
> 1. Create GitHub Actions YAML configuration file
> - Files: `.github/workflows/test_examples.yml`
>
> 2. Configure triggers, runner and checkout step for workflow
> - Files: `.github/workflows/test_examples.yml`
>
> 3. Install Python, cache dependencies, and install required dependencies
> - Files: `.github/workflows/test_examples.yml`
>
> 4. Run examples from the examples folder
> - Files: `.github/workflows/test_examples.yml`
>
> 5. Extract and run examples from the README file
> - Files: `.github/workflows/test_examples.yml`
>
> 1. Commit: Create GitHub Actions YAML configuration file
> Files: .github/workflows/test_examples.yml:L1-L7
> Changes:
> - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.
> 2. Commit: Configure triggers, runner and checkout step for workflow
> Files: .github/workflows/test_examples.yml:L8-L14
> Changes:
> - Configure the workflow to run on the ubuntu-latest runner and add the checkout step to clone the source code.
> 3. Commit: Install Python, cache dependencies, and install required dependencies
> Files: .github/workflows/test_examples.yml:L15-L30
> Changes:
> - Set up Python 3.x, cache pip dependencies, and install the required dependencies from the requirements.txt file.
> 4. Commit: Run examples from the examples folder
> Files: .github/workflows/test_examples.yml:L31-L35
> Changes:
> - Add a step to run all Python examples in the examples folder.
> 5. Commit: Extract and run examples from the README file
> Files: .github/workflows/test_examples.yml:L36-L42
> Changes:
> - Add a step to extract Python code examples from the README file and run them.
✅ Wrote commit: Create GitHub Actions YAML configuration file
>
> Created new file: .github/workflows/test_examples.yml
>
> > Running rail MakeDecision in one step...
> >
> >
> > Action: Parsed output
> >
> > >
> > > Prompt
> > >
> > >
> > > ```
> > > You are about to make a decision on what to do next.
> > >
> > > This is the issue that was opened:
> > > ```#9 Add github actions tests
> > >
> > > hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file.
> > >
> > > ```
> > >
> > > This is the pull request we're creating:
> > > ```Title: Add GitHub Actions Workflow for Testing Examples (Issue #9)
> > >
> > > This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file.
> > >
> > > The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples.
> > >
> > > The following commits are part of this Pull Request:
> > >
> > > 1. Create GitHub Actions YAML configuration file
> > > - Files: `.github/workflows/test_examples.yml`
> > >
> > > 2. Configure triggers, runner and checkout step for workflow
> > > - Files: `.github/workflows/test_examples.yml`
> > >
> > > 3. Install Python, cache dependencies, and install required dependencies
> > > - Files: `.github/workflows/test_examples.yml`
> > >
> > > 4. Run examples from the examples folder
> > > - Files: `.github/workflows/test_examples.yml`
> > >
> > > 5. Extract and run examples from the README file
> > > - Files: `.github/workflows/test_examples.yml`
> > >
> > > 1. Commit: Create GitHub Actions YAML configuration file
> > > Files: .github/workflows/test_examples.yml:L1-L7
> > > Changes:
> > > - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.
> > > 2. Commit: Configure triggers, runner and checkout step for workflow
> > > Files: .github/workflows/test_examples.yml:L8-L14
> > > Changes:
> > > - Configure the workflow to run on the ubuntu-latest runner and add the checkout step to clone the source code.
> > > 3. Commit: Install Python, cache dependencies, and install required dependencies
> > > Files: .github/workflows/test_examples.yml:L15-L30
> > > Changes:
> > > - Set up Python 3.x, cache pip dependencies, and install the required dependencies from the requirements.txt file.
> > > 4. Commit: Run examples from the examples folder
> > > Files: .github/workflows/test_examples.yml:L31-L35
> > > Changes:
> > > - Add a step to run all Python examples in the examples folder.
> > > 5. Commit: Extract and run examples from the README file
> > > Files: .github/workflows/test_examples.yml:L36-L42
> > > Changes:
> > > - Add a step to extract Python code examples from the README file and run them.
> > > ```
> > >
> > > This is the commit we're writing:
> > > ```Create GitHub Actions YAML configuration file
> > >
> > > - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.```
> > >
> > > This is the codebase subset we decided to look at:
> > > ``````
> > >
> > > These are the actions we've taken so far:
> > > ``````
> > >
> > > In our pursuit of implementing this commit, please make a decision on what to do next.
> > > If a new file should be created, respond with `new_file` and the file path and description.
> > > If one of the files in the codebase subset should be edited, respond with `edit_file` and the file path, description, and line numbers of the hunk to edit. When picking the line numbers, keep the hunk as short as possible while fulfilling the description. If you don't know which line numbers to pick, leave them blank.
> > > If you're done, respond with `finished` and the commit message describing the past actions.
> > > ```
> > >
> > >
> > > Given below is XML that describes the information to extract from this document and the tags to extract it into.
> > >
> > > ```xml
> > >
> > > ```
> > >
> > >
> > > ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise.
> > >
> > > Here are examples of simple (XML, JSON) pairs that show the expected behavior:
> > > - `` => `{'foo': 'example one'}`
> > > - `` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}`
> > > - `` => `{'baz': {'foo': 'Some String', 'index': 1}}`
> > >
> > >
Raw Response
{
"action": "new_file",
"new_file": {
"filepath": ".github/workflows/test_examples.yml",
"description": "Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch."
}
}
Parsed Response
{
"action": "new_file",
"new_file": {
"filepath": ".github/workflows/test_examples.yml",
"description": "Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch."
},
"edit_file": null,
"commit_message": null
}
Running chain NewFileChain
GeneratedHunkOutputParser: Parsed result
>
> Prompt
>
> Human: Hey, we've got a new file to create.
>
> This is the issue that was opened:
> ```
> #9 Add github actions tests
>
> hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file.
>
>
> ```
>
> This is the pull request we're creating:
> ```
> Title: Add GitHub Actions Workflow for Testing Examples (Issue #9)
>
> This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file.
>
> The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples.
>
> The following commits are part of this Pull Request:
>
> 1. Create GitHub Actions YAML configuration file
> - Files: `.github/workflows/test_examples.yml`
>
> 2. Configure triggers, runner and checkout step for workflow
> - Files: `.github/workflows/test_examples.yml`
>
> 3. Install Python, cache dependencies, and install required dependencies
> - Files: `.github/workflows/test_examples.yml`
>
> 4. Run examples from the examples folder
> - Files: `.github/workflows/test_examples.yml`
>
> 5. Extract and run examples from the README file
> - Files: `.github/workflows/test_examples.yml`
>
> 1. Commit: Create GitHub Actions YAML configuration file
> Files: .github/workflows/test_examples.yml:L1-L7
> Changes:
> - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.
> 2. Commit: Configure triggers, runner and checkout step for workflow
> Files: .github/workflows/test_examples.yml:L8-L14
> Changes:
> - Configure the workflow to run on the ubuntu-latest runner and add the checkout step to clone the source code.
> 3. Commit: Install Python, cache dependencies, and install required dependencies
> Files: .github/workflows/test_examples.yml:L15-L30
> Changes:
> - Set up Python 3.x, cache pip dependencies, and install the required dependencies from the requirements.txt file.
> 4. Commit: Run examples from the examples folder
> Files: .github/workflows/test_examples.yml:L31-L35
> Changes:
> - Add a step to run all Python examples in the examples folder.
> 5. Commit: Extract and run examples from the README file
> Files: .github/workflows/test_examples.yml:L36-L42
> Changes:
> - Add a step to extract Python code examples from the README file and run them.
>
> ```
>
> This is the commit we're writing:
> ```
> Create GitHub Actions YAML configuration file
>
> - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.
> ```
>
> This is the codebase subset we decided to look at:
> ```
>
> ```
>
> This is the plan for the file we're creating:
> ```
> Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.
> ```
>
> Please send me the contents of the file.
>
> RESPONSE FORMAT INSTRUCTIONS
> ----------------------------
>
> When responding to me, please use the following format. Make sure you return both the code enclosed in backticks and the JSON immediately after.
>
> ```
>
> ```
> {
> "outcome": string # A description of the outcome of the attempt to rewrite the file hunk according to the problem statement.
> }
>
Raw Response
```
name: Test Examples
on:
push:
branches:
- main
pull_request:
branches:
- main
```
{
"outcome": "Created the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch."
}
Result
{
"contents": "name: Test Examples\n\non:\n push:\n branches:\n - main\n pull_request:\n branches:\n - main",
"outcome": "Created the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch."
}
📝 Result
> ```diff
> diff --git a/.github/workflows/test_examples.yml b/.github/workflows/test_examples.yml
> new file mode 100644
> index 0000000..49e39be
> --- /dev/null
> +++ b/.github/workflows/test_examples.yml
> @@ -0,0 +1,9 @@
> +name: Test Examples
> +
> +on:
> + push:
> + branches:
> + - main
> + pull_request:
> + branches:
> + - main
> \ No newline at end of file
> ```
Finished writing commit
> Running rail MakeDecision in one step...
>
>
> Action: Parsed output
>
> >
> > Prompt
> >
> >
> > ```
> > You are about to make a decision on what to do next.
> >
> > This is the issue that was opened:
> > ```#9 Add github actions tests
> >
> > hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file.
> >
> > ```
> >
> > This is the pull request we're creating:
> > ```Title: Add GitHub Actions Workflow for Testing Examples (Issue #9)
> >
> > This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file.
> >
> > The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples.
> >
> > The following commits are part of this Pull Request:
> >
> > 1. Create GitHub Actions YAML configuration file
> > - Files: `.github/workflows/test_examples.yml`
> >
> > 2. Configure triggers, runner and checkout step for workflow
> > - Files: `.github/workflows/test_examples.yml`
> >
> > 3. Install Python, cache dependencies, and install required dependencies
> > - Files: `.github/workflows/test_examples.yml`
> >
> > 4. Run examples from the examples folder
> > - Files: `.github/workflows/test_examples.yml`
> >
> > 5. Extract and run examples from the README file
> > - Files: `.github/workflows/test_examples.yml`
> >
> > 1. Commit: Create GitHub Actions YAML configuration file
> > Files: .github/workflows/test_examples.yml:L1-L7
> > Changes:
> > - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.
> > 2. Commit: Configure triggers, runner and checkout step for workflow
> > Files: .github/workflows/test_examples.yml:L8-L14
> > Changes:
> > - Configure the workflow to run on the ubuntu-latest runner and add the checkout step to clone the source code.
> > 3. Commit: Install Python, cache dependencies, and install required dependencies
> > Files: .github/workflows/test_examples.yml:L15-L30
> > Changes:
> > - Set up Python 3.x, cache pip dependencies, and install the required dependencies from the requirements.txt file.
> > 4. Commit: Run examples from the examples folder
> > Files: .github/workflows/test_examples.yml:L31-L35
> > Changes:
> > - Add a step to run all Python examples in the examples folder.
> > 5. Commit: Extract and run examples from the README file
> > Files: .github/workflows/test_examples.yml:L36-L42
> > Changes:
> > - Add a step to extract Python code examples from the README file and run them.
> > ```
> >
> > This is the commit we're writing:
> > ```Create GitHub Actions YAML configuration file
> >
> > - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.```
> >
> > This is the codebase subset we decided to look at:
> > ```>>> File: .github/workflows/test_examples.yml
> >
> > 1 | name: Test Examples
> > 2 |
> > 3 | on:
> > 4 | push:
> > 5 | branches:
> > 6 | - main
> > 7 | pull_request:```
> >
> > These are the actions we've taken so far:
> > ```Created file .github/workflows/test_examples.yml: Created the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.```
> >
> > In our pursuit of implementing this commit, please make a decision on what to do next.
> > If a new file should be created, respond with `new_file` and the file path and description.
> > If one of the files in the codebase subset should be edited, respond with `edit_file` and the file path, description, and line numbers of the hunk to edit. When picking the line numbers, keep the hunk as short as possible while fulfilling the description. If you don't know which line numbers to pick, leave them blank.
> > If you're done, respond with `finished` and the commit message describing the past actions.
> > ```
> >
> >
> > Given below is XML that describes the information to extract from this document and the tags to extract it into.
> >
> > ```xml
> >
> > ```
> >
> >
> > ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise.
> >
> > Here are examples of simple (XML, JSON) pairs that show the expected behavior:
> > - `` => `{'foo': 'example one'}`
> > - `` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}`
> > - `` => `{'baz': {'foo': 'Some String', 'index': 1}}`
> >
> >
Fixes #9
Description
This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the
examplesfolder, as well as examples from the README file.The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples.
The following commits are part of this Pull Request:
Create GitHub Actions YAML configuration file
.github/workflows/test_examples.ymlConfigure triggers, runner and checkout step for workflow
.github/workflows/test_examples.ymlInstall Python, cache dependencies, and install required dependencies
.github/workflows/test_examples.ymlRun examples from the examples folder
.github/workflows/test_examples.ymlExtract and run examples from the README file
.github/workflows/test_examples.ymlStatus
This pull request was being autonomously generated by AutoPR, but it encountered an error.
Error:
Please open an issue to report this.
Progress Updates
✅ Planned pull request
> Running rail InitialFileSelect in two steps... > >Ran raw query
> > >Prompt
> > > > Hey, somebody just opened an issue in my repo, could you help me write a pull request? > > > > The issue is: > > ```#9 Add github actions tests > > > > hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file. > > > > ``` > > > > The list of files in the repo is: > > ```.gitignore (14 tokens) > > LICENSE (3168 tokens) > > README.md (1544 tokens) > > poetry.lock (161369 tokens) > > pyproject.toml (308 tokens) > > data/records.json (410 tokens) > > data/titanic.csv (30946 tokens) > > examples/query_file.py (57 tokens) > > examples/query_wikidata.py (52 tokens) > > experiments/__init__.py (0 tokens) > > experiments/flan_query_planner.py (1307 tokens) > > experiments/local_llm.py (527 tokens) > > experiments/query_decomposer.py (1871 tokens) > > qabot/__init__.py (255 tokens) > > qabot/caching.py (682 tokens) > > qabot/cli.py (2663 tokens) > > qabot/config.py (164 tokens) > > qabot/duckdb_manual_data_loader.py (1324 tokens) > > qabot/duckdb_query.py (645 tokens) > > qabot/progress_callback.py (1045 tokens) > > .github/workflows/autopr.yml (512 tokens) > > qabot/agents/__init__.py (0 tokens) > > qabot/agents/agent.py (1700 tokens) > > qabot/agents/data_query_chain.py (3532 tokens) > > qabot/tools/__init__.py (0 tokens) > > qabot/tools/describe_duckdb_table.py (184 tokens) > > qabot/tools/duckdb_execute_tool.py (364 tokens) > > qabot/tools/wikidata.py (1043 tokens)``` > > > > Should we take a look at any files? If so, pick only a few files (max 5000 tokens). > > Respond with a very short rationale, and a list of files. > > If looking at files would be a waste of time with regard to the issue, respond with an empty list. > >InitialFileSelectResponse: Parsed output
>Prompt
> > > ``` > To address the issue regarding adding GitHub Actions tests, we should mainly focus on creating a new workflow file within the `.github/workflows/` directory. Checking the existing `autopr.yml` workflow file might be helpful to ensure consistency in the workflow style. Additionally, we will need to review the examples in the `examples` folder and the `README.md` file to understand the required tests. > > Here's the list of files to look at: > - .github/workflows/autopr.yml > - README.md > - examples/query_file.py > - examples/query_wikidata.py > ``` > > If looking at files would be a waste of time, please submit an empty list. > > > Given below is XML that describes the information to extract from this document and the tags to extract it into. > > ```xml > > ``` > > > ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise. > > Here are examples of simple (XML, JSON) pairs that show the expected behavior: > - `
` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}` > - `` => `{'baz': {'foo': 'Some String', 'index': 1}}` > >Running rail LookAtFiles in two steps...
Ran raw query
>Prompt
> > Hey, somebody just submitted an issue, could you own it, and write a pull request? > > The issue that was opened: > ```#9 Add github actions tests > > hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file. > > ``` > > We've decided to look at these files: > ```>>> Path: README.md: > > 0 # qabot > 1 > 2 Query local or remote files with natural language queries powered by > 3 `langchain` and `gpt` and `duckdb` 🦆. > 4 > 5 Can query Wikidata and local files. > 6 > 7 ## Command Line Usage > 8 > 9 ```bash > 10 $ EXPORT OPENAI_API_KEY=sk-... > 11 $ EXPORT QABOT_MODEL_NAME=gpt-4 > 12 $ qabot -w -q "How many Hospitals are there located in Beijing" > 13 Query: How many Hospitals are there located in Beijing > 14 There are 39 hospitals located in Beijing. > 15 Total tokens 1749 approximate cost in USD: 0.05562 > 16 ``` > 17 > 18 ## Python Usage > 19 > 20 ```python > 21 from qabot import ask_wikidata, ask_file > 22 > 23 print(ask_wikidata("How many hospitals are there in New Zealand?")) > 24 print(ask_file("How many men were aboard the titanic?", 'data/titanic.csv')) > 25 ``` > 26 > 27 Output: > 28 ```text > 29 There are 54 hospitals in New Zealand. > 30 There were 577 male passengers on the Titanic. > 31 ``` > 32 > 33 > 34 ## Features > 35 > 36 Works on local CSV files: > 37 > 38  > 39 > 40 remote CSV files: > 41 > 42 ``` > 43 $ qabot \ > 44 -f https://www.stats.govt.nz/assets/Uploads/Environmental-economic-accounts/Environmental-economic-accounts-data-to-2020/renewable-energy-stock-account-2007-2020-csv.csv \ > 45 -q "How many Gigawatt hours of generation was there for Solar resources in 2015 through to 2020?" > 46 ``` > 47 > 48 > 49 Even on (public) data stored in S3: > 50 > 51  > 52 > 53 You can even load data from disk via the natural language query, but that doesn't always work... > 54 > 55 > 56 > "Load the file 'data/titanic_survival.parquet' into a table called 'raw_passengers'. Create a view of the raw passengers table for just the male passengers. What was the average fare for surviving male passengers?" > 57 > 58 > 59 After a bit of back and forth with the model, it gets there: > 60 > 61 > The average fare for surviving male passengers from the 'male_passengers' view where the passenger survived is 40.82. I ran the query: SELECT AVG(Fare) FROM male_passengers WHERE Survived = 1 AND Sex = 'male'; > 62 The average fare for surviving male passengers is 40.82. > 63 > 64 > 65 ## Quickstart > 66 > 67 You need to set the `OPENAI_API_KEY` environment variable to your OpenAI API key, > 68 which you can get from [here](https://platform.openai.com/account/api-keys). > 69 > 70 Install the `qabot` command line tool using pip/poetry: > 71 > 72 > 73 ```bash > 74 $ pip install qabot > 75 ``` > 76 > 77 Then run the `qabot` command with either local files (`-f my-file.csv`) or `-w` to query wikidata. > 78 > 79 > 80 ## Examples > 81 > 82 ### Local CSV file/s > 83 > 84 ```bash > 85 $ qabot -q "how many passengers survived by gender?" -f data/titanic.csv > 86 🦆 Loading data from files... > 87 Loading data/titanic.csv into table titanic... > 88 > 89 Query: how many passengers survived by gender? > 90 Result: > 91 There were 233 female passengers and 109 male passengers who survived. > 92 > 93 > 94 🚀 any further questions? [y/n] (y): y > 95 > 96 🚀 Query: what was the largest family who did not survive? > 97 Query: what was the largest family who did not survive? > 98 Result: > 99 The largest family who did not survive was the Sage family, with 8 members. > 100 > 101 🚀 any further questions? [y/n] (y): n > 102 ``` > 103 > 104 > 105 ## Query WikiData > 106 > 107 Use the `-w` flag to query wikidata. For best results use the `gpt-4` model. > 108 ```bash > 109 $ EXPORT QABOT_MODEL_NAME=gpt-4 > 110 $ qabot -w -q "How many Hospitals are there located in Beijing" > 111 ``` > 112 > 113 ## Intermediate steps and database queries > 114 > 115 Use the `-v` flag to see the intermediate steps and database queries. > 116 Sometimes it takes a long route to get to the answer, but it's interesting to see how it gets there. > 117 > 118 ``` > 119 qabot -f data/titanic.csv -q "how many passengers survived by gender?" -v > 120 ``` > 121 > 122 ## Data accessed via http/s3 > 123 > 124 Use the `-fLookAtFilesResponse: Parsed output
>Prompt
> > > ``` > To resolve the issue and implement the GitHub Actions workflow, we should create a new YAML file in the `.github/workflows/` directory. This workflow will be responsible for running the examples from the `examples` folder and the README file. > > Here are the steps we need to follow: > 1. Create a new YAML file in the `.github/workflows/` directory (e.g., `test_examples.yml`). > 2. Define the events that trigger the workflow (e.g., push and pull_request events). > 3. Use a suitable runner, such as `ubuntu-latest`. > 4. Checkout the source code using the `actions/checkout@v2` action. > 5. Install the required dependencies (e.g., Python and necessary packages). > 6. Run the examples present in the `examples` folder. > 7. Extract examples from the README file and execute them. > > Additional files to look at (total tokens: 308 + 14): > - `pyproject.toml`: To understand the project dependencies and Python version. > - `.gitignore`: To ensure the new YAML file is not ignored by git. > > These are the brief notes and files that we should focus on to close the issue. > ``` > > If looking at files would be a waste of time, please submit an empty list. > > > Given below is XML that describes the information to extract from this document and the tags to extract it into. > > ```xml > > ``` > > > ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise. > > Here are examples of simple (XML, JSON) pairs that show the expected behavior: > - `
` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}` > - `` => `{'baz': {'foo': 'Some String', 'index': 1}}` > >Running rail ContinueLookingAtFiles in two steps...
Ran raw query
>Prompt
> > Hey, somebody just submitted an issue, could you own it, and write a pull request? > > The issue that was opened: > ```#9 Add github actions tests > > hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file. > > ``` > > Some notes we've taken while looking at files so far: > ```To resolve the issue and implement the GitHub Actions workflow, create a new YAML file in the .github/workflows/ directory (e.g., test_examples.yml). Define the events that trigger the workflow (e.g., push and pull_request events). Use a suitable runner, such as ubuntu-latest. Checkout the source code using the actions/checkout@v2 action. Install the required dependencies (e.g., Python and necessary packages). Run the examples present in the examples folder. Extract examples from the README file and execute them.``` > > We've decided to look at these files: > ```>>> Path: .gitignore: > > 0 __pycache__ > 1 > 2 qabot/__pycache__ > >>> Path: pyproject.toml: > > 0 [tool.poetry] > 1 name = "qabot" > 2 version = "0.3.4" > 3 license = "Apache-2.0" > 4 description = "Query local or remote data files with natural language queries powered by OpenAI and DuckDB." > 5 authors = ["Brian ThorneLookAtFilesResponse: Parsed output
>Prompt
> > > ``` > To resolve issue #9, create and implement a GitHub Actions workflow for testing examples. The following steps outline the process: > > 1. Create a new YAML file in the .github/workflows/ directory (e.g., test_examples.yml). > > 2. Define the events that trigger the workflow (e.g., push and pull_request events). > > 3. Use a suitable runner, such as ubuntu-latest. > > 4. Checkout the source code using the actions/checkout@v2 action. > > 5. Install Python 3.10, as specified in pyproject.toml. > > 6. Cache the dependencies using actions/cache, which will speed up the workflow by only installing dependencies when necessary. > > 7. Install the required dependencies using `poetry install`. > > 8. Run the examples present in the examples folder. To do this, you can use a Python script that iterates through the files in the folder and executes them using the `exec()` function. > > 9. Extract examples from the README file and execute them. To achieve this, you can use a Python script that reads the content of the README.md file, searches for code snippets (e.g., by looking for triple backticks), and executes the code using the `exec()` function. > > In addition to the files you have already looked at, you might want to review the following files: > > - examples folder (if it exists): This folder should contain examples that need to be executed as part of the workflow. > - README.md: Review the examples in the file to ensure they are executable and correctly formatted. > > Here's a list of commits to implement the changes: > > 1. Commit 1: Create the GitHub Actions workflow file (test_examples.yml) with the initial configuration (triggers, runner, checkout action). > 2. Commit 2: Install Python and cache the dependencies in the workflow file. > 3. Commit 3: Install the required dependencies using `poetry install` in the workflow file. > 4. Commit 4: Add a Python script to run the examples in the examples folder and execute it in the workflow. > 5. Commit 5: Add a Python script to extract and run examples from the README file and execute it in the workflow. > > After completing these steps, submit a pull request to merge your changes. > ``` > > If looking at files would be a waste of time, please submit an empty list. > > > Given below is XML that describes the information to extract from this document and the tags to extract it into. > > ```xml > > ``` > > > ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise. > > Here are examples of simple (XML, JSON) pairs that show the expected behavior: > - `
` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}` > - `` => `{'baz': {'foo': 'Some String', 'index': 1}}` > >Running rail ProposePullRequest in two steps...
Ran raw query
>Prompt
> > Hey somebody just submitted an issue, could you own it, write some commits, and a pull request? > > These are notes we took while looking at the repo: > ```To resolve the issue and implement the GitHub Actions workflow, create a new YAML file in the .github/workflows/ directory (e.g., test_examples.yml). Define the events that trigger the workflow (e.g., push and pull_request events). Use a suitable runner, such as ubuntu-latest. Checkout the source code using the actions/checkout@v2 action. Install the required dependencies (e.g., Python and necessary packages). Run the examples present in the examples folder. Extract examples from the README file and execute them. > To resolve issue #9, create and implement a GitHub Actions workflow for testing examples. This involves creating a new YAML file, defining triggers, using a suitable runner, checking out the source code, installing Python, caching dependencies, installing required dependencies, running examples in the examples folder, and extracting examples from the README file.``` > > This is the issue that was opened: > ```#9 Add github actions tests > > hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file. > > ``` > > When you're done, send me the pull request title, body, and a list of commits, each coupled with which files we should be looking at to write the commit's code. > Ensure you specify the files relevant to the commit, especially if the commit is a refactor. > Folders are created automatically; do not make them in their own commit. >PullRequestDescription: Parsed output
>Prompt
> > > ``` > I'm an AI language model, so I cannot directly interact with repositories, but I can help you plan the commits and the pull request. Here's the plan: > > Pull Request Title: > ```Add GitHub Actions Workflow for Testing Examples (Issue #9)``` > > Pull Request Body: > ``` > This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file. > > The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples. > > The following commits are part of this Pull Request: > > 1. Create GitHub Actions YAML configuration file > - Files: `.github/workflows/test_examples.yml` > > 2. Configure triggers, runner and checkout step for workflow > - Files: `.github/workflows/test_examples.yml` > > 3. Install Python, cache dependencies, and install required dependencies > - Files: `.github/workflows/test_examples.yml` > > 4. Run examples from the examples folder > - Files: `.github/workflows/test_examples.yml` > > 5. Extract and run examples from the README file > - Files: `.github/workflows/test_examples.yml` > ``` > > List of commits: > > 1. Commit: Create GitHub Actions YAML configuration file > - File: `.github/workflows/test_examples.yml` > ``` > name: Test Examples > > on: > push: > branches: [ main ] > pull_request: > branches: [ main ] > ``` > > 2. Commit: Configure triggers, runner and checkout step for workflow > - File: `.github/workflows/test_examples.yml` > ``` > jobs: > test-examples: > runs-on: ubuntu-latest > > steps: > - name: Checkout source code > uses: actions/checkout@v2 > ``` > > 3. Commit: Install Python, cache dependencies, and install required dependencies > - File: `.github/workflows/test_examples.yml` > ``` > - name: Set up Python > uses: actions/setup-python@v2 > with: > python-version: 3.x > > - name: Cache dependencies > uses: actions/cache@v2 > with: > path: ~/.cache/pip > key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }} > restore-keys: | > ${{ runner.os }}-pip- > > - name: Install dependencies > run: pip install -r requirements.txt > ``` > > 4. Commit: Run examples from the examples folder > - File: `.github/workflows/test_examples.yml` > ``` > - name: Run examples in examples folder > run: | > for example in examples/*.py; do > python $example > done > ``` > > 5. Commit: Extract and run examples from the README file > - File: `.github/workflows/test_examples.yml` > ``` > - name: Extract and run examples from README > run: | > EXAMPLES=$(awk '/^```python/,/^```/' README.md | grep -v '```') > echo "$EXAMPLES" > README_examples.py > python README_examples.py > ``` > > Now you can implement these commits and create the pull request. Let me know if you need any additional guidance or help. > ``` > > > Given below is XML that describes the information to extract from this document and the tags to extract it into. > > ```xml > > ``` > > > ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise. > > Here are examples of simple (XML, JSON) pairs that show the expected behavior: > - `
` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}` > - `` => `{'baz': {'foo': 'Some String', 'index': 1}}` > >📝 Result
> Title: Add GitHub Actions Workflow for Testing Examples (Issue #9) > > This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file. > > The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples. > > The following commits are part of this Pull Request: > > 1. Create GitHub Actions YAML configuration file > - Files: `.github/workflows/test_examples.yml` > > 2. Configure triggers, runner and checkout step for workflow > - Files: `.github/workflows/test_examples.yml` > > 3. Install Python, cache dependencies, and install required dependencies > - Files: `.github/workflows/test_examples.yml` > > 4. Run examples from the examples folder > - Files: `.github/workflows/test_examples.yml` > > 5. Extract and run examples from the README file > - Files: `.github/workflows/test_examples.yml` > > 1. Commit: Create GitHub Actions YAML configuration file > Files: .github/workflows/test_examples.yml:L1-L7 > Changes: > - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch. > 2. Commit: Configure triggers, runner and checkout step for workflow > Files: .github/workflows/test_examples.yml:L8-L14 > Changes: > - Configure the workflow to run on the ubuntu-latest runner and add the checkout step to clone the source code. > 3. Commit: Install Python, cache dependencies, and install required dependencies > Files: .github/workflows/test_examples.yml:L15-L30 > Changes: > - Set up Python 3.x, cache pip dependencies, and install the required dependencies from the requirements.txt file. > 4. Commit: Run examples from the examples folder > Files: .github/workflows/test_examples.yml:L31-L35 > Changes: > - Add a step to run all Python examples in the examples folder. > 5. Commit: Extract and run examples from the README file > Files: .github/workflows/test_examples.yml:L36-L42 > Changes: > - Add a step to extract Python code examples from the README file and run them.✅ Wrote commit: Create GitHub Actions YAML configuration file
>Created new file: .github/workflows/test_examples.yml
> > > Running rail MakeDecision in one step... > > > >Action: Parsed output
> > > > >Prompt
> > > > > > > > > ``` > > > You are about to make a decision on what to do next. > > > > > > This is the issue that was opened: > > > ```#9 Add github actions tests > > > > > > hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file. > > > > > > ``` > > > > > > This is the pull request we're creating: > > > ```Title: Add GitHub Actions Workflow for Testing Examples (Issue #9) > > > > > > This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file. > > > > > > The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples. > > > > > > The following commits are part of this Pull Request: > > > > > > 1. Create GitHub Actions YAML configuration file > > > - Files: `.github/workflows/test_examples.yml` > > > > > > 2. Configure triggers, runner and checkout step for workflow > > > - Files: `.github/workflows/test_examples.yml` > > > > > > 3. Install Python, cache dependencies, and install required dependencies > > > - Files: `.github/workflows/test_examples.yml` > > > > > > 4. Run examples from the examples folder > > > - Files: `.github/workflows/test_examples.yml` > > > > > > 5. Extract and run examples from the README file > > > - Files: `.github/workflows/test_examples.yml` > > > > > > 1. Commit: Create GitHub Actions YAML configuration file > > > Files: .github/workflows/test_examples.yml:L1-L7 > > > Changes: > > > - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch. > > > 2. Commit: Configure triggers, runner and checkout step for workflow > > > Files: .github/workflows/test_examples.yml:L8-L14 > > > Changes: > > > - Configure the workflow to run on the ubuntu-latest runner and add the checkout step to clone the source code. > > > 3. Commit: Install Python, cache dependencies, and install required dependencies > > > Files: .github/workflows/test_examples.yml:L15-L30 > > > Changes: > > > - Set up Python 3.x, cache pip dependencies, and install the required dependencies from the requirements.txt file. > > > 4. Commit: Run examples from the examples folder > > > Files: .github/workflows/test_examples.yml:L31-L35 > > > Changes: > > > - Add a step to run all Python examples in the examples folder. > > > 5. Commit: Extract and run examples from the README file > > > Files: .github/workflows/test_examples.yml:L36-L42 > > > Changes: > > > - Add a step to extract Python code examples from the README file and run them. > > > ``` > > > > > > This is the commit we're writing: > > > ```Create GitHub Actions YAML configuration file > > > > > > - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.``` > > > > > > This is the codebase subset we decided to look at: > > > `````` > > > > > > These are the actions we've taken so far: > > > `````` > > > > > > In our pursuit of implementing this commit, please make a decision on what to do next. > > > If a new file should be created, respond with `new_file` and the file path and description. > > > If one of the files in the codebase subset should be edited, respond with `edit_file` and the file path, description, and line numbers of the hunk to edit. When picking the line numbers, keep the hunk as short as possible while fulfilling the description. If you don't know which line numbers to pick, leave them blank. > > > If you're done, respond with `finished` and the commit message describing the past actions. > > > ``` > > > > > > > > > Given below is XML that describes the information to extract from this document and the tags to extract it into. > > > > > > ```xml > > > > > > ``` > > > > > > > > > ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise. > > > > > > Here are examples of simple (XML, JSON) pairs that show the expected behavior: > > > - `
` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}` > > > - `` => `{'baz': {'foo': 'Some String', 'index': 1}}` > > > > > >Running chain NewFileChain
GeneratedHunkOutputParser: Parsed result
>Prompt
> > Human: Hey, we've got a new file to create. > > This is the issue that was opened: > ``` > #9 Add github actions tests > > hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file. > > > ``` > > This is the pull request we're creating: > ``` > Title: Add GitHub Actions Workflow for Testing Examples (Issue #9) > > This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file. > > The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples. > > The following commits are part of this Pull Request: > > 1. Create GitHub Actions YAML configuration file > - Files: `.github/workflows/test_examples.yml` > > 2. Configure triggers, runner and checkout step for workflow > - Files: `.github/workflows/test_examples.yml` > > 3. Install Python, cache dependencies, and install required dependencies > - Files: `.github/workflows/test_examples.yml` > > 4. Run examples from the examples folder > - Files: `.github/workflows/test_examples.yml` > > 5. Extract and run examples from the README file > - Files: `.github/workflows/test_examples.yml` > > 1. Commit: Create GitHub Actions YAML configuration file > Files: .github/workflows/test_examples.yml:L1-L7 > Changes: > - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch. > 2. Commit: Configure triggers, runner and checkout step for workflow > Files: .github/workflows/test_examples.yml:L8-L14 > Changes: > - Configure the workflow to run on the ubuntu-latest runner and add the checkout step to clone the source code. > 3. Commit: Install Python, cache dependencies, and install required dependencies > Files: .github/workflows/test_examples.yml:L15-L30 > Changes: > - Set up Python 3.x, cache pip dependencies, and install the required dependencies from the requirements.txt file. > 4. Commit: Run examples from the examples folder > Files: .github/workflows/test_examples.yml:L31-L35 > Changes: > - Add a step to run all Python examples in the examples folder. > 5. Commit: Extract and run examples from the README file > Files: .github/workflows/test_examples.yml:L36-L42 > Changes: > - Add a step to extract Python code examples from the README file and run them. > > ``` > > This is the commit we're writing: > ``` > Create GitHub Actions YAML configuration file > > - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch. > ``` > > This is the codebase subset we decided to look at: > ``` > > ``` > > This is the plan for the file we're creating: > ``` > Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch. > ``` > > Please send me the contents of the file. > > RESPONSE FORMAT INSTRUCTIONS > ---------------------------- > > When responding to me, please use the following format. Make sure you return both the code enclosed in backticks and the JSON immediately after. > > ``` >📝 Result
> ```diff > diff --git a/.github/workflows/test_examples.yml b/.github/workflows/test_examples.yml > new file mode 100644 > index 0000000..49e39be > --- /dev/null > +++ b/.github/workflows/test_examples.yml > @@ -0,0 +1,9 @@ > +name: Test Examples > + > +on: > + push: > + branches: > + - main > + pull_request: > + branches: > + - main > \ No newline at end of file > ```Finished writing commit
> Running rail MakeDecision in one step... > >Action: Parsed output
> > >Prompt
> > > > > > ``` > > You are about to make a decision on what to do next. > > > > This is the issue that was opened: > > ```#9 Add github actions tests > > > > hardbyte: Implement a github workflow to run the examples from the `examples` folder, as well as examples from the readme file. > > > > ``` > > > > This is the pull request we're creating: > > ```Title: Add GitHub Actions Workflow for Testing Examples (Issue #9) > > > > This Pull Request resolves Issue #9 by implementing a GitHub Actions workflow that runs the examples from the `examples` folder, as well as examples from the README file. > > > > The workflow is triggered by push and pull_request events, and uses the ubuntu-latest runner. It checks out the source code, installs Python, caches dependencies, installs required dependencies, and runs the examples. > > > > The following commits are part of this Pull Request: > > > > 1. Create GitHub Actions YAML configuration file > > - Files: `.github/workflows/test_examples.yml` > > > > 2. Configure triggers, runner and checkout step for workflow > > - Files: `.github/workflows/test_examples.yml` > > > > 3. Install Python, cache dependencies, and install required dependencies > > - Files: `.github/workflows/test_examples.yml` > > > > 4. Run examples from the examples folder > > - Files: `.github/workflows/test_examples.yml` > > > > 5. Extract and run examples from the README file > > - Files: `.github/workflows/test_examples.yml` > > > > 1. Commit: Create GitHub Actions YAML configuration file > > Files: .github/workflows/test_examples.yml:L1-L7 > > Changes: > > - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch. > > 2. Commit: Configure triggers, runner and checkout step for workflow > > Files: .github/workflows/test_examples.yml:L8-L14 > > Changes: > > - Configure the workflow to run on the ubuntu-latest runner and add the checkout step to clone the source code. > > 3. Commit: Install Python, cache dependencies, and install required dependencies > > Files: .github/workflows/test_examples.yml:L15-L30 > > Changes: > > - Set up Python 3.x, cache pip dependencies, and install the required dependencies from the requirements.txt file. > > 4. Commit: Run examples from the examples folder > > Files: .github/workflows/test_examples.yml:L31-L35 > > Changes: > > - Add a step to run all Python examples in the examples folder. > > 5. Commit: Extract and run examples from the README file > > Files: .github/workflows/test_examples.yml:L36-L42 > > Changes: > > - Add a step to extract Python code examples from the README file and run them. > > ``` > > > > This is the commit we're writing: > > ```Create GitHub Actions YAML configuration file > > > > - Create the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.``` > > > > This is the codebase subset we decided to look at: > > ```>>> File: .github/workflows/test_examples.yml > > > > 1 | name: Test Examples > > 2 | > > 3 | on: > > 4 | push: > > 5 | branches: > > 6 | - main > > 7 | pull_request:``` > > > > These are the actions we've taken so far: > > ```Created file .github/workflows/test_examples.yml: Created the initial GitHub Actions YAML configuration file with the workflow name and triggers for push and pull_request events on the main branch.``` > > > > In our pursuit of implementing this commit, please make a decision on what to do next. > > If a new file should be created, respond with `new_file` and the file path and description. > > If one of the files in the codebase subset should be edited, respond with `edit_file` and the file path, description, and line numbers of the hunk to edit. When picking the line numbers, keep the hunk as short as possible while fulfilling the description. If you don't know which line numbers to pick, leave them blank. > > If you're done, respond with `finished` and the commit message describing the past actions. > > ``` > > > > > > Given below is XML that describes the information to extract from this document and the tags to extract it into. > > > > ```xml > > > > ``` > > > > > > ONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML's tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise. > > > > Here are examples of simple (XML, JSON) pairs that show the expected behavior: > > - `
` => `{"bar": ['STRING ONE', 'STRING TWO', etc.]}` > > - `` => `{'baz': {'foo': 'Some String', 'index': 1}}` > > > >📝 Result
> ```diff > diff --git a/.github/workflows/test_examples.yml b/.github/workflows/test_examples.yml > new file mode 100644 > index 0000000..49e39be > --- /dev/null > +++ b/.github/workflows/test_examples.yml > @@ -0,0 +1,9 @@ > +name: Test Examples > + > +on: > + push: > + branches: > + - main > + pull_request: > + branches: > + - main > \ No newline at end of file > ```