Hardeepex / scrapegost

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sweep: i want to integrate it with selectolax + scrapeghost #8

Closed Hardeepex closed 6 months ago

Hardeepex commented 6 months ago

I want you to combine the all code in root directory in 1 folder and use the selectolax for parsing like parse the main data and then send to scrapeghost for filter #7

Checklist - [X] Create `src/main.py` ✓ https://github.com/Hardeepex/scrapegost/commit/b479c6992cecbd76e38637b37df8ad89c0241e6c [Edit](https://github.com/Hardeepex/scrapegost/edit/sweep/i_want_to_integrate_it_with_selectolax/src/main.py) - [X] Running GitHub Actions for `src/main.py` ✓ [Edit](https://github.com/Hardeepex/scrapegost/edit/sweep/i_want_to_integrate_it_with_selectolax/src/main.py) - [X] Modify `README.md` ✓ https://github.com/Hardeepex/scrapegost/commit/4d064eb7e004ecdbf215ff4a9852c6c9669076a3 [Edit](https://github.com/Hardeepex/scrapegost/edit/sweep/i_want_to_integrate_it_with_selectolax/README.md#L15-L43) - [X] Running GitHub Actions for `README.md` ✓ [Edit](https://github.com/Hardeepex/scrapegost/edit/sweep/i_want_to_integrate_it_with_selectolax/README.md#L15-L43) - [X] Modify `docs/tutorial.md` ✓ https://github.com/Hardeepex/scrapegost/commit/59c41f81f0a115c5eab2feab3a6ab65fee6dfc44 [Edit](https://github.com/Hardeepex/scrapegost/edit/sweep/i_want_to_integrate_it_with_selectolax/docs/tutorial.md#L56-L210) - [X] Running GitHub Actions for `docs/tutorial.md` ✓ [Edit](https://github.com/Hardeepex/scrapegost/edit/sweep/i_want_to_integrate_it_with_selectolax/docs/tutorial.md#L56-L210) - [X] Modify `docs/usage.md` ✓ https://github.com/Hardeepex/scrapegost/commit/394bcf397c98cd79f1714d30cdecb6405c9479e8 [Edit](https://github.com/Hardeepex/scrapegost/edit/sweep/i_want_to_integrate_it_with_selectolax/docs/usage.md#L2-L108) - [X] Running GitHub Actions for `docs/usage.md` ✓ [Edit](https://github.com/Hardeepex/scrapegost/edit/sweep/i_want_to_integrate_it_with_selectolax/docs/usage.md#L2-L108)
sweep-ai[bot] commented 6 months ago

🚀 Here's the PR! #9

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Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I think are relevant in decreasing order of relevance (click to expand). If some file is missing from here, you can mention the path in the ticket description. https://github.com/Hardeepex/scrapegost/blob/9adf21994b1d9cb5bfdb90daa73ca2c9e71f63ac/docs/tutorial.md#L56-L210 https://github.com/Hardeepex/scrapegost/blob/9adf21994b1d9cb5bfdb90daa73ca2c9e71f63ac/README.md#L15-L42 https://github.com/Hardeepex/scrapegost/blob/9adf21994b1d9cb5bfdb90daa73ca2c9e71f63ac/docs/usage.md#L2-L108

Step 2: ⌨️ Coding

Ran GitHub Actions for b479c6992cecbd76e38637b37df8ad89c0241e6c:

--- 
+++ 
@@ -18,6 +18,14 @@
 ![](screenshot.png)

 ## Features
+
+**`src/main.py` usage** - This script uses `selectolax` for initial HTML parsing to extract the main content of a webpage and then passes this data on to `scrapeghost` for further processing and filtering. To use the script, follow these instructions:
+
+```
+python src/main.py
+```
+
+This will process the content from a hardcoded URL and print out the extracted data according to the defined schema.

 The purpose of this library is to provide a convenient interface for exploring web scraping with GPT.

Ran GitHub Actions for 4d064eb7e004ecdbf215ff4a9852c6c9669076a3:

--- 
+++ 
@@ -27,7 +27,7 @@
 We can do this by creating a `SchemaScraper` object and passing it a schema.

 ```python
---8<-- "docs/examples/tutorial/episode_scraper_1.py"
+--8<-- "src/docs/examples/tutorial/episode_scraper_1.py"
 ```

 There is no predefined way to define a schema, but a dictionary resembling the data you want to scrape where the keys are the names of the fields you want to scrape and the values are the types of the fields is a good place to start.
@@ -70,13 +70,13 @@

 ```python hl_lines="1 13 14"
---8<-- "docs/examples/tutorial/episode_scraper_2.py"
+--8<-- "src/docs/examples/tutorial/episode_scraper_2.py"
 ```

 Now, a call to our scraper will only pass the content of the `
` to OpenAI. We get the following output: ```log ---8<-- "docs/examples/tutorial/episode_scraper_2.log" +--8<-- "src/docs/examples/tutorial/episode_scraper_2.log" ``` We can see from the logging output that the content length is much shorter now and we get the data we were hoping for. @@ -94,7 +94,7 @@ That was easy! Let's enhance our schema to include the list of guests as well as requesting the dates in a particular format. ```python hl_lines="8-9" ---8<-- "docs/examples/tutorial/episode_scraper_3.py" +--8<-- "src/docs/examples/tutorial/episode_scraper_3.py" ``` Just two small changes, but now we get the following output: @@ -130,10 +130,10 @@ This page has a completely different layout. We will need to change our CSS selector: ```python hl_lines="4 14" ---8<-- "docs/examples/tutorial/episode_scraper_4.py" +--8<-- "src/docs/examples/tutorial/episode_scraper_4.py" ``` ```log hl_lines="11" ---8<-- "docs/examples/tutorial/episode_scraper_4.log" +--8<-- "src/docs/examples/tutorial/episode_scraper_4.log" ``` *Completely different HTML, one CSS selector change.* @@ -149,7 +149,7 @@ --8<-- "docs/examples/tutorial/episode_scraper_5.py" ``` ```log hl_lines="11" ---8<-- "docs/examples/tutorial/episode_scraper_5.log" +--8<-- "src/docs/examples/tutorial/episode_scraper_5.log" ``` At this point, you may be wondering if you'll ever need to write a web scraper again. @@ -163,7 +163,7 @@ has a link to each of the episodes, perhaps we can just scrape that page? ```python ---8<-- "docs/examples/tutorial/list_scraper_v1.py" +--8<-- "src/docs/examples/tutorial/list_scraper_v1.py" ``` ```log scrapeghost.scrapers.TooManyTokens: HTML is 292918 tokens, max for gpt-3.5-turbo is 4096 @@ -180,7 +180,7 @@ `SchemaScraper` has a few options that will help, we'll change our scraper to use `auto_split_length`. ```python ---8<-- "docs/examples/tutorial/list_scraper_v2.py" +--8<-- "src/docs/examples/tutorial/list_scraper_v2.py" ``` We set the `auto_split_length` to 2000. This is the maximum number of tokens that will be passed to OpenAI in a single request. @@ -195,7 +195,7 @@ ```log *relevant log lines shown for clarity* ---8<-- "docs/examples/tutorial/list_scraper_v2.log" +--8<-- "src/docs/examples/tutorial/list_scraper_v2.log" ``` As you can see, a couple of requests had to fall back to GPT-4, which raised the cost. @@ -208,6 +208,16 @@ If you do want to see the pieces put together, jump down to the [Putting it all Together](#putting-it-all-together) section. +## Using `src/main.py` Script + +The `src/main.py` script is a new addition to the suite of tools provided. This script utilizes `selectolax` for the initial HTML parsing to efficiently extract relevant content from a webpage. After the initial parse, the content is passed to `scrapeghost` for further processing and filtering. Here is how you might utilize it: + +1. Execute the provided Python script `src/main.py`. +2. The script takes HTML content and uses `selectolax` to parse the main data. +3. Once the main data is extracted, it is handed off to `scrapeghost` which filters and processes it according to predefined schemas. + +You may consider wrapping this process in a function or integrate it into a larger automation workflow depending on your use case. + ## Next Steps If you're planning to use this library, please be aware that while core functionalities like the main scraping mechanisms are stable, certain auxiliary features and interfaces are subject to change. We are continuously working to improve the API based on user feedback and technological advances. @@ -226,5 +236,5 @@ ## Putting it all Together ```python ---8<-- "docs/examples/tutorial/tutorial_final.py" +--8<-- "src/docs/examples/tutorial/tutorial_final.py" ```

Ran GitHub Actions for 59c41f81f0a115c5eab2feab3a6ab65fee6dfc44:

--- 
+++ 
@@ -3,6 +3,10 @@
 ## Data Flow

 Since most of the work is done by the API, the job of a `SchemaScraper` is to make it easier to pass HTML and get valid output.
+
+## Using `src/main.py` Script
+
+The `src/main.py` script is an integral part of this processing pipeline. It initiates the workflow by using `selectolax` for preliminary HTML parsing to extract the crucial content from a web page. After this initial parsing step, the script uses `scrapeghost` for additional processing and filtering, conforming to the defined schemas.

 If you are going to go beyond the basics, it is important to understand the data flow:

@@ -30,6 +34,8 @@

 If you set the `auto_split_length` parameter to a positive integer, the HTML will be split into multiple requests where each
 request aims to be no larger than `auto_split_length` tokens.
+
+The new `src/main.py` script uses this auto-splitting feature to streamline the process of handling large HTML documents by first using `selectolax` to parse the HTML and then `scrapeghost` to filter the data.

 !!! warning

@@ -132,7 +138,7 @@
 If you want to validate that the returned data isn't just JSON, but data in the format you expect, you can use `pydantic` models.

 ```python
---8<-- "docs/examples/pydantic_example.py"
+--8<-- "src/docs/examples/pydantic_example.py"
 ```
 ```log
 --8<-- "docs/examples/pydantic_example.log"
@@ -174,7 +180,7 @@
 Here's a functional example that scrapes several pages of employees:

 ```python
---8<-- "docs/examples/yoyodyne.py"
+--8<-- "src/docs/examples/yoyodyne.py"
 ```

 !!! warning

Ran GitHub Actions for 394bcf397c98cd79f1714d30cdecb6405c9479e8:


Step 3: 🔁 Code Review

I have finished reviewing the code for completeness. I did not find errors for sweep/i_want_to_integrate_it_with_selectolax.


🎉 Latest improvements to Sweep:


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