Update script_for_automation.py
Browse files- script_for_automation.py +72 -32
script_for_automation.py
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@@ -12,8 +12,8 @@ from jsondiff import diff
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# First, get the gold standard JSONs from baserow
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# Next, get the recipe parameter list from the input folder
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# Iterate through the recipe parameter list one at a time
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# In the iteration, first fill out a surveystack submission
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# Next, save the surveystack submission ID
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# Use the iteration parameters to then get the three JSONs back from chatgpt
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# Compare the JSONs to the gold standard JSONs
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# Print out the differences in a .csv
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@@ -76,20 +76,20 @@ def get_baserow_data():
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wally_squash_greg_summary_preprocessing = row.get("Post-Interview Summary")
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gold_standards = {
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@@ -99,23 +99,23 @@ def get_baserow_data():
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# wally_squash_trial = gold_standards["trial_gold_standards"]["wally_squash"]
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input_data = {
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}
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return gold_standards, input_data
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except requests.exceptions.RequestException as e:
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@@ -183,7 +183,7 @@ def fill_out_survey(recipe_dict, input_data):
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"survey": survey_id,
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"data": {
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"inputstyle": "big-block-input-text",
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"onelonginputtext":
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"schema_prompt": {
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"firstschemaprompt": recipe_dict["plantings_and_fields_prompt"],
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"secondschemaprompt": recipe_dict["interactions_prompt"],
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@@ -206,7 +206,7 @@ def fill_out_survey(recipe_dict, input_data):
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"survey": survey_id,
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"data": {
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"inputstyle": "big-block-input-text",
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"onelonginputtext":
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"schema_prompt": {
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"firstschemaprompt": recipe_dict["plantings_and_fields_prompt"],
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"secondschemaprompt": recipe_dict["interactions_prompt"],
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@@ -219,12 +219,52 @@ def fill_out_survey(recipe_dict, input_data):
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}
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}
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}
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return "pumpkin"
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def drive_process():
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# this is to drive the processing process
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return "banana"
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# First, get the gold standard JSONs from baserow
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# Next, get the recipe parameter list from the input folder
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# Iterate through the recipe parameter list one at a time
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# In the iteration, first fill out a surveystack submission - is this possible with the current surveystack API?
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# Next, save the surveystack submission ID (?)
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# Use the iteration parameters to then get the three JSONs back from chatgpt
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# Compare the JSONs to the gold standard JSONs
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# Print out the differences in a .csv
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wally_squash_greg_summary_preprocessing = row.get("Post-Interview Summary")
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gold_standards = {
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"liz_carrot": {
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"planting": liz_carrot_plantings_gold_standard,
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"interactions": liz_carrot_interactions_gold_standard,
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"trials": liz_carrot_trials_gold_standard,
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},
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"ben_soybean": {
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"planting": ben_soybean_plantings_gold_standard,
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"interactions": ben_soybean_interactions_gold_standard,
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"trials": ben_soybean_trials_gold_standard,
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},
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"wally_squash": {
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"planting": wally_squash_plantings_gold_standard,
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"interactions": wally_squash_interactions_gold_standard,
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"trials": wally_squash_trials_gold_standard,
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}
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}
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# wally_squash_trial = gold_standards["trial_gold_standards"]["wally_squash"]
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input_data = {
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"liz_carrot": {
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"raw_interview": liz_carrot_input_data_raw_interview,
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"otter_summary": liz_carrot_otter_summary_preprocessing,
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"greg_summary": liz_carrot_greg_summary_preprocessing
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},
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"ben_soybean": {
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"raw_interview": ben_soybean_input_data_raw_interview,
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"otter_summary": ben_soybean_otter_summary_preprocessing,
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"greg_summary": ben_soybean_greg_summary_preprocessing
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},
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"wally_squash": {
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"raw_interview": wally_squash_input_data_raw_interview,
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"otter_summary": wally_squash_otter_summary_preprocessing,
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"greg_summary": wally_squash_greg_summary_preprocessing
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}
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}
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return gold_standards, input_data
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except requests.exceptions.RequestException as e:
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"survey": survey_id,
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"data": {
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"inputstyle": "big-block-input-text",
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"onelonginputtext": input_data,
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"schema_prompt": {
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"firstschemaprompt": recipe_dict["plantings_and_fields_prompt"],
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"secondschemaprompt": recipe_dict["interactions_prompt"],
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"survey": survey_id,
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"data": {
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"inputstyle": "big-block-input-text",
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"onelonginputtext": input_data,
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"schema_prompt": {
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"firstschemaprompt": recipe_dict["plantings_and_fields_prompt"],
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"secondschemaprompt": recipe_dict["interactions_prompt"],
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}
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}
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}
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headers = {
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"Content-Type": "application/json",
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}
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try:
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response = requests.post(base_url, headers=headers, data=json.dumps(submission_data))
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response.raise_for_status()
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if response.status_code == 200:
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print("Submission successful to SurveyStack!")
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print(response.json())
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else:
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print(f"Failed to submit: {response.status_code} - {response.text}")
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except requests.exceptions.RequestException as e:
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print(f"An error occurred while submitting the data: {e}")
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def drive_process():
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# this is to drive the processing process
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gold_standards, input_data = get_baserow_data()
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my_recipes = get_recipes()
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# Input chunk structure
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# "liz_carrot": {
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# "raw_interview": liz_carrot_input_data_raw_interview,
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# "otter_summary": liz_carrot_otter_summary_preprocessing,
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# "greg_summary": liz_carrot_greg_summary_preprocessing
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# },
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for recipe_dict in my_recipes:
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for key, input_chunks in input_data.items():
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if recipe_dict["pre_processing_strategy"] == "Otter.ai Summary":
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input_data = input_chunks["otter_summary"]
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elif recipe_dict["pre_processing_strategy"] == "Greg Summary":
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input_data = input_chunks["greg_summary"]
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else:
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input_data = input_chunks["raw_interview"]
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fill_out_survey(recipe_dict, input_data)
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# This is for after doing the stuff with chatgpt actually
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gold_standard_dict = gold_standard[key]
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difference = diff(gold_standard_dict, )
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return "banana"
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