Closed jack89roberts closed 5 years ago
pyforecast uses the requests_cache package to create an sqlite3 of returned results (speeds up request time)
Trying to import pyforecast when deployed on Azure gives "database is locked" errors.
For now bypassed by using a fork of pyforecast with caching diabled.
pyforecast uses the requests_cache package to create an sqlite3 of returned results (speeds up request time)
Trying to import pyforecast when deployed on Azure gives "database is locked" errors.
32 and #21