# Via Claude Code chat:
"""
Create a python recipe called "data_cleaner" that takes "raw_data" as input 
and outputs "clean_data" in project "ANALYTICS_PROJECT"
"""

# This translates to:
create_recipe(
    project_key="ANALYTICS_PROJECT",
    recipe_type="python",
    recipe_name="data_cleaner",
    inputs=["raw_data"],
    outputs=[{"name": "clean_data", "new": True, "connection": "filesystem_managed"}],
    code="""
import pandas as pd
df = dataiku.Dataset("raw_data").get_dataframe()
# Add your cleaning logic here
df_clean = df.dropna()
dataiku.Dataset("clean_data").write_with_schema(df_clean)
"""
)

# Via Claude Code chat:
"""
Build the dataset "user_analytics" in project "BI" with recursive build mode
"""

# This translates to:
build_dataset(
    project_key="BI",
    dataset_name="user_analytics",
    mode="RECURSIVE_BUILD"
)

# Via Claude Code chat:
"""
Add a daily trigger to scenario "daily_etl" that runs at 6:00 AM UTC
"""

# This translates to:
add_scenario_trigger(
    project_key="DATA_PIPELINE",
    scenario_id="daily_etl",
    trigger_type="daily",
    hour=6,
    minute=0,
    timezone="UTC"
)

# Via Claude Code chat:
"""
Show me the logs for the latest failed run of scenario "data_processing"
"""

# This translates to:
get_scenario_logs(
    project_key="ANALYTICS_PROJECT",
    scenario_id="data_processing"
)

# Via Claude Code chat:
"""
Extract the code from recipe "customer_segmentation" and validate its syntax
"""

# This translates to:
get_recipe_code(
    project_key="ML_PROJECT",
    recipe_name="customer_segmentation"
)

validate_recipe_syntax(
    project_key="ML_PROJECT",
    recipe_name="customer_segmentation"
)

# Via Claude Code chat:
"""
Show me the complete data flow for project "SALES_ANALYTICS" and find all datasets containing "customer"
"""

# This translates to:
get_project_flow(
    project_key="SALES_ANALYTICS"
)

search_project_objects(
    project_key="SALES_ANALYTICS",
    search_term="customer",
    object_types=["datasets", "recipes", "scenarios"]
)

# Via Claude Code chat:
"""
Get a sample of 500 rows from dataset "transactions" showing only customer_id and amount columns
"""

# This translates to:
get_dataset_sample(
    project_key="FINANCE_PROJECT",
    dataset_name="transactions",
    rows=500,
    columns=["customer_id", "amount"]
)

# Via Claude Code chat:
"""
Show me the recent failed runs in project "DATA_PIPELINE" and get details for any failed jobs
"""

# This translates to:
get_recent_runs(
    project_key="DATA_PIPELINE",
    limit=20,
    status_filter="FAILED"
)

get_job_details(
    project_key="DATA_PIPELINE",
    job_id="job_12345"
)

# Via Claude Code chat:
"""
Export the configuration of project "TEMPLATE_PROJECT" as YAML and duplicate its structure to "NEW_PROJECT"
"""

# This translates to:
export_project_config(
    project_key="TEMPLATE_PROJECT",
    format="yaml"
)

duplicate_project_structure(
    source_project_key="TEMPLATE_PROJECT",
    target_project_key="NEW_PROJECT",
    include_data=False
)