usecase: report generation with camel framework using excel templates #2448
Conversation
nitpicker55555
changed the title
nitpicker55555
changed the title
| pass # No-op | ||
|
|
||
|
|
||
| def DatabaseInterpreter(db_config: Dict[str, Any]) -> BaseInterpreter: |
There was a problem hiding this comment.
Should we rename it to make it more clear?
| def DatabaseInterpreter(db_config: Dict[str, Any]) -> BaseInterpreter: | |
| def DatabaseQueryLanguageInterpreter(db_config: Dict[str, Any]) -> BaseInterpreter: |
| conn = sqlite3.connect(self.db_path) | ||
| cursor = conn.cursor() | ||
| cursor.execute(query) | ||
| rows = cursor.fetchall() | ||
| column_names = [desc[0] for desc in | ||
| cursor.description] if cursor.description else [] | ||
|
|
||
| conn.commit() | ||
| conn.close() |
There was a problem hiding this comment.
Do we need to connect and close for running each query?
|
Thanks @nitpicker55555. Thanks for building the amazing use cases with |
Cool~ Will do that |
Wendong-Fan
added
the
Waiting for Update
|
thanks @nitpicker55555 ，A warm reminder：Does anything block you?please lets us know if you need any help |
|
Hey @nitpicker55555, Quick reminder of this PR |
5 participants
Description
This usecase demonstrates how to use the EmbodiedAgent framework to automate a complete Excel → SQL → Excel workflow, powered by language agents and integrated interpreters.
Fixes #2351
Checklist
Go over all the following points, and put an
xin all the boxes that apply.Fixes #issue-numberin the PR description (required)pyproject.tomlanduv lock