Refactor: Move backend files to backend/ directory and split .gitignore
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backend/src/ea_chatbot/graph/prompts/coder.py
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backend/src/ea_chatbot/graph/prompts/coder.py
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from langchain_core.prompts import ChatPromptTemplate
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CODE_GENERATOR_SYSTEM = """You are an AI data analyst and your job is to assist users with data analysis and coding tasks.
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The user will provide a task and a plan.
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**Data Access:**
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- A database client is available as a variable named `db`.
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- You MUST use `db.query_df(sql_query)` to execute SQL queries and retrieve data as a Pandas DataFrame.
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- Do NOT assume a dataframe `df` is already loaded unless explicitly stated. You usually need to query it first.
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- The database schema is described in the prompt. Use it to construct valid SQL queries.
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**Plotting:**
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- If you need to plot any data, use the `plots` list to store the figures.
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- Example: `plots.append(fig)` or `plots.append(plt.gcf())`.
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- Do not use `plt.show()` as it will render the plot and cause an error.
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**Code Requirements:**
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- Produce FULL, COMPLETE CODE that includes all steps and solves the task!
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- Always include the import statements at the top of the code (e.g., `import pandas as pd`, `import matplotlib.pyplot as plt`).
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- Always include print statements to output the results of your code.
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- Use `db.query_df("SELECT ...")` to get data."""
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CODE_GENERATOR_USER = """TASK:
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{question}
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PLAN:
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```yaml
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{plan}
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```
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AVAILABLE DATA SUMMARY (Database Schema):
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{database_description}
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CODE EXECUTION OF THE PREVIOUS TASK RESULTED IN:
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{code_exec_results}
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{example_code}"""
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ERROR_CORRECTOR_SYSTEM = """The execution of the code resulted in an error.
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Return a complete, corrected python code that incorporates the fixes for the error.
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**Reminders:**
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- You have access to a database client via the variable `db`.
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- Use `db.query_df(sql)` to run queries.
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- Use `plots.append(fig)` for plots.
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- Always include imports and print statements."""
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ERROR_CORRECTOR_USER = """FAILED CODE:
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```python
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{code}
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```
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ERROR:
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{error}"""
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CODE_GENERATOR_PROMPT = ChatPromptTemplate.from_messages([
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("system", CODE_GENERATOR_SYSTEM),
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("human", CODE_GENERATOR_USER),
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])
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ERROR_CORRECTOR_PROMPT = ChatPromptTemplate.from_messages([
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("system", ERROR_CORRECTOR_SYSTEM),
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("human", ERROR_CORRECTOR_USER),
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])
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