A Python program which parses the data in the coblob database and transforms into a format which the co-data project can use. One of the main goals of this project is to reduce the load on the CPU in the co-data project.
https://www.craigoates.net/Software/project/17
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47 lines
1.8 KiB
47 lines
1.8 KiB
import requests |
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from services import art_services, data_services, logging_services |
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def update_data(arguments): |
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directory = arguments.target |
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v_setting = arguments.verbose |
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v_out = logging_services.log # Partial function -- for brevity. |
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save = data_services.store_json # (P.F.) For easier reading. |
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v_out(v_setting, "Beginning to update Art data...") |
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try: |
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raw_art_data = data_services.get_json( |
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"https://api.craigoates.net/api/1.0/Artwork") |
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v_out(v_setting, "Data from API retrived.") |
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save(art_services.get_creation_date_totals(raw_art_data), |
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f"{directory}/art_creation_dates.json") |
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v_out(v_setting, "Art creation dates processed.") |
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save(art_services.get_db_column_totals(raw_art_data, "category"), |
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f"{directory}/art_category.json") |
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v_out(v_setting, "Art categories processed.") |
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save(art_services.get_db_column_totals(raw_art_data, "medium"), |
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f"{directory}/art_medium.json") |
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v_out(v_setting, "Art medium(s) totals processed.") |
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save(art_services.get_dimension_totals |
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(raw_art_data, "dimensions", "width"), |
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f"{directory}/art_width.json") |
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v_out(v_setting, "Art width totals processed.") |
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save(art_services.get_dimension_totals |
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(raw_art_data, "dimensions", "height"), |
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f"{directory}/art_height.json") |
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v_out(v_setting, "Art height totals processed.") |
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save(art_services.get_dimension_totals |
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(raw_art_data, "dimensions", "depth"), |
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f"{directory}/art_depth.json") |
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v_out(v_setting, "Art depth totals processed.") |
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v_out(v_setting, "Completed updating Art data.") |
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except Exception: |
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print("ERROR: [art_coordinator] Unable to update Art data.")
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