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Update app.py
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app.py
CHANGED
@@ -9,29 +9,29 @@ dataset_path = 'sample_contract_df.parquet' # Update with your Parquet file pat
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# Provided schema
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schema = [
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{"column_name": "department_ind_agency", "column_type": "VARCHAR"
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{"column_name": "cgac", "column_type": "BIGINT"
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{"column_name": "sub_tier", "column_type": "VARCHAR"
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{"column_name": "fpds_code", "column_type": "VARCHAR"
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{"column_name": "office", "column_type": "VARCHAR"
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{"column_name": "aac_code", "column_type": "VARCHAR"
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{"column_name": "posteddate", "column_type": "VARCHAR"
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{"column_name": "type", "column_type": "VARCHAR"
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{"column_name": "basetype", "column_type": "VARCHAR"
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{"column_name": "popstreetaddress", "column_type": "VARCHAR"
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{"column_name": "popcity", "column_type": "VARCHAR"
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{"column_name": "popstate", "column_type": "VARCHAR"
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{"column_name": "popzip", "column_type": "VARCHAR"
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{"column_name": "popcountry", "column_type": "VARCHAR"
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{"column_name": "active", "column_type": "VARCHAR"
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{"column_name": "awardnumber", "column_type": "VARCHAR"
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{"column_name": "awarddate", "column_type": "VARCHAR"
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{"column_name": "award", "column_type": "DOUBLE"
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{"column_name": "awardee", "column_type": "VARCHAR"
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{"column_name": "state", "column_type": "VARCHAR"
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{"column_name": "city", "column_type": "VARCHAR"
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{"column_name": "zipcode", "column_type": "VARCHAR"
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{"column_name": "countrycode", "column_type": "VARCHAR"
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]
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# Cache the schema loading
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# Provided schema
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schema = [
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{"column_name": "department_ind_agency", "column_type": "VARCHAR"},
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{"column_name": "cgac", "column_type": "BIGINT"},
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{"column_name": "sub_tier", "column_type": "VARCHAR"},
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{"column_name": "fpds_code", "column_type": "VARCHAR"},
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{"column_name": "office", "column_type": "VARCHAR"},
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{"column_name": "aac_code", "column_type": "VARCHAR"},
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{"column_name": "posteddate", "column_type": "VARCHAR"},
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{"column_name": "type", "column_type": "VARCHAR"},
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{"column_name": "basetype", "column_type": "VARCHAR"},
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{"column_name": "popstreetaddress", "column_type": "VARCHAR"},
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{"column_name": "popcity", "column_type": "VARCHAR"},
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{"column_name": "popstate", "column_type": "VARCHAR"},
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{"column_name": "popzip", "column_type": "VARCHAR"},
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{"column_name": "popcountry", "column_type": "VARCHAR"},
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{"column_name": "active", "column_type": "VARCHAR"},
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{"column_name": "awardnumber", "column_type": "VARCHAR"},
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{"column_name": "awarddate", "column_type": "VARCHAR"},
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{"column_name": "award", "column_type": "DOUBLE"},
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{"column_name": "awardee", "column_type": "VARCHAR"},
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{"column_name": "state", "column_type": "VARCHAR"},
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{"column_name": "city", "column_type": "VARCHAR"},
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{"column_name": "zipcode", "column_type": "VARCHAR"},
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{"column_name": "countrycode", "column_type": "VARCHAR"}
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]
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# Cache the schema loading
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