forked from Archives/langchain
Add logging in PBI tool (#5841)
<!-- Thank you for contributing to LangChain! Your PR will appear in our release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. Finally, we'd love to show appreciation for your contribution - if you'd like us to shout you out on Twitter, please also include your handle! --> Add some logging into the powerbi tool so that you can see the queries being sent to PBI and attempts to correct them. <!-- Remove if not applicable --> Fixes # (issue) #### Before submitting <!-- If you're adding a new integration, please include: 1. a test for the integration - favor unit tests that does not rely on network access. 2. an example notebook showing its use See contribution guidelines for more information on how to write tests, lint etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #### Who can review? Tag maintainers/contributors who might be interested: @vowelparrot <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 -->
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@ -1,4 +1,5 @@
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"""Tools for interacting with a Power BI dataset."""
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"""Tools for interacting with a Power BI dataset."""
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import logging
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from typing import Any, Dict, Optional, Tuple
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from typing import Any, Dict, Optional, Tuple
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from pydantic import Field, validator
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from pydantic import Field, validator
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@ -17,6 +18,8 @@ from langchain.tools.powerbi.prompt import (
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)
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)
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from langchain.utilities.powerbi import PowerBIDataset, json_to_md
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from langchain.utilities.powerbi import PowerBIDataset, json_to_md
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logger = logging.getLogger(__name__)
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class QueryPowerBITool(BaseTool):
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class QueryPowerBITool(BaseTool):
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"""Tool for querying a Power BI Dataset."""
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"""Tool for querying a Power BI Dataset."""
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@ -73,9 +76,11 @@ class QueryPowerBITool(BaseTool):
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) -> str:
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) -> str:
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"""Execute the query, return the results or an error message."""
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"""Execute the query, return the results or an error message."""
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if cache := self._check_cache(tool_input):
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if cache := self._check_cache(tool_input):
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logger.debug("Found cached result for %s: %s", tool_input, cache)
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return cache
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return cache
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try:
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try:
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logger.info("Running PBI Query Tool with input: %s", tool_input)
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query = self.llm_chain.predict(
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query = self.llm_chain.predict(
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tool_input=tool_input,
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tool_input=tool_input,
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tables=self.powerbi.get_table_names(),
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tables=self.powerbi.get_table_names(),
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@ -88,6 +93,7 @@ class QueryPowerBITool(BaseTool):
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if query == "I cannot answer this":
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if query == "I cannot answer this":
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self.session_cache[tool_input] = query
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self.session_cache[tool_input] = query
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return self.session_cache[tool_input]
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return self.session_cache[tool_input]
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logger.info("Query: %s", query)
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pbi_result = self.powerbi.run(command=query)
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pbi_result = self.powerbi.run(command=query)
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result, error = self._parse_output(pbi_result)
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result, error = self._parse_output(pbi_result)
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@ -114,8 +120,10 @@ class QueryPowerBITool(BaseTool):
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) -> str:
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) -> str:
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"""Execute the query, return the results or an error message."""
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"""Execute the query, return the results or an error message."""
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if cache := self._check_cache(tool_input):
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if cache := self._check_cache(tool_input):
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logger.debug("Found cached result for %s: %s", tool_input, cache)
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return cache
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return cache
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try:
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try:
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logger.info("Running PBI Query Tool with input: %s", tool_input)
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query = await self.llm_chain.apredict(
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query = await self.llm_chain.apredict(
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tool_input=tool_input,
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tool_input=tool_input,
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tables=self.powerbi.get_table_names(),
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tables=self.powerbi.get_table_names(),
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@ -129,6 +137,7 @@ class QueryPowerBITool(BaseTool):
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if query == "I cannot answer this":
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if query == "I cannot answer this":
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self.session_cache[tool_input] = query
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self.session_cache[tool_input] = query
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return self.session_cache[tool_input]
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return self.session_cache[tool_input]
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logger.info("Query: %s", query)
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pbi_result = await self.powerbi.arun(command=query)
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pbi_result = await self.powerbi.arun(command=query)
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result, error = self._parse_output(pbi_result)
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result, error = self._parse_output(pbi_result)
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