def parse_file_to_sql():
    # parse NASS Data
    df = parse_file()
    df.rename({'CV (%)': 'CV_pct'}, axis='columns', inplace=True)

    # to sql
    types = {
        'Program': TEXT,
        'year': INTEGER,
        'Period': TEXT,
        'Geo Level': TEXT,
        'region': TEXT,
        'State ANSI': INTEGER,
        'watershed_code': INTEGER,
        'Commodity': TEXT,
        'Data Item': TEXT,
        'Domain': TEXT,
        'naics': INTEGER,
        'value': FLOAT,
        'CV_pct': TEXT,
        'units': TEXT
    }

    df.to_sql('nass', con=engine, if_exists='replace', dtype=types)

    tbl_desc = 'USDA NASS -- https://quickstats.nass.usda.gov/#777837D3-E71B-323A-8137-D10646E77104'
    comment = text(
        "COMMENT ON TABLE nass IS '{}';".format(tbl_desc)).execution_options(
            autocommit=True)
    engine.execute(comment)
Beispiel #2
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def join_all_usatrade_to_sql():
    # parse USA Trade Data
    df = join_all_usatrade()

    # drop annoying partial year data
    df.drop(df[df['year'] == '2017 through November'].index, inplace=True)
    df.reset_index(drop=True, inplace=True)

    # to sql
    types = {'flow': TEXT,
             'region': TEXT,
             'Country': TEXT,
             'year': TEXT,
             'value': FLOAT,
             'NAICS': INTEGER,
             'Commodity_desc': TEXT,
             'units': TEXT,
             'Commodity': TEXT}

    df.to_sql('usatrade', con=engine, if_exists='replace', dtype=types)

    tbl_desc = 'USA Trade -- https://usatrade.census.gov/'
    comment = text("COMMENT ON TABLE usatrade IS '{}';".format(
        tbl_desc)).execution_options(autocommit=True)
    engine.execute(comment)
Beispiel #3
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def parse_file_to_sql():
    # parse EIA Crude Oil Data (BlueNOTE) Data
    df = parse_file()

    # to sql
    types = {'year': INTEGER, 'price': FLOAT, 'units': TEXT, 'notes': TEXT}

    df.to_sql('eia_crude_oil', con=engine, if_exists='replace', dtype=types)

    tbl_desc = 'EIA Annual Crude Oil Prices -- https://www.eia.gov/dnav/pet/pet_pri_rac2_dcu_nus_a.htm'
    comment = text("COMMENT ON TABLE eia_crude_oil IS '{}';".format(
        tbl_desc)).execution_options(autocommit=True)
    engine.execute(comment)
Beispiel #4
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def join_all_emissions_to_sql():
    # parse EIA SEDS emissions
    df = join_all_emissions()

    types = {
        'source': TEXT,
        'region': TEXT,
        'year': INTEGER,
        'emissions': FLOAT,
        'units': TEXT
    }
    df.to_sql('emissions', con=engine, if_exists='replace', dtype=types)

    tbl_desc = 'EIA State Energy Data System -- https://www.eia.gov/environment/emissions/state/'
    comment = text("COMMENT ON TABLE emissions IS '{}';".format(
        tbl_desc)).execution_options(autocommit=True)
    engine.execute(comment)
def file_parser_to_sql():
    df = file_parser()

    # to sql
    types = {
        'from_industry': TEXT,
        'to_industry': TEXT,
        'from_industry_desc': TEXT,
        'to_industry_desc': TEXT,
        'year': INTEGER,
        'value': FLOAT,
        'units': TEXT
    }
    df.to_sql('bea_use_detailed', con=engine, if_exists='replace', dtype=types)

    tbl_desc = 'BEA IO Use Table (Detailed) -- https://www.bea.gov/industry/input-output-accounts-data'
    comment = text("COMMENT ON TABLE bea_use_detailed IS '{}';".format(
        tbl_desc)).execution_options(autocommit=True)
    engine.execute(comment)
Beispiel #6
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def parse_file_to_sql():
    df = parse_file()

    types = {
        'Data_Status': TEXT,
        'MSN': TEXT,
        'region': TEXT,
        'year': INTEGER,
        'value': FLOAT,
        'desc': TEXT,
        'units': TEXT
    }
    df.to_sql('seds', con=engine, if_exists='replace', dtype=types)

    tbl_desc = 'EIA State Energy Data System -- https://www.eia.gov/state/seds/seds-data-fuel.php?sid=US#DataFiles'
    comment = text(
        "COMMENT ON TABLE seds IS '{}';".format(tbl_desc)).execution_options(
            autocommit=True)
    engine.execute(comment)
Beispiel #7
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def join_all_sgf_to_sql():
    # parse SGF
    df = join_all_sgf()

    # to sql
    types = {
        'label': TEXT,
        'geographic_region': TEXT,
        'year': INTEGER,
        'value': FLOAT,
        'units': TEXT
    }
    df.to_sql('sgf', con=engine, if_exists='replace', dtype=types)

    tbl_desc = 'Annual Survey of State Government Finances -- https://www.census.gov/programs-surveys/state/data/tables.html'
    comment = text(
        "COMMENT ON TABLE sgf IS '{}';".format(tbl_desc)).execution_options(
            autocommit=True)
    engine.execute(comment)
Beispiel #8
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def file_parser_to_sql():
    # parse BEA Use Table
    df = file_parser()

    # to sql
    types = {
        'input': TEXT,
        'input_code': TEXT,
        'output': TEXT,
        'output_code': TEXT,
        'year': INTEGER,
        'value': BIGINT,
        'units': TEXT
    }
    df.to_sql('bea_use', con=engine, if_exists='replace', dtype=types)

    tbl_desc = 'BEA IO Use Table (71 Industry) -- https://www.bea.gov/industry/input-output-accounts-data'
    comment = text("COMMENT ON TABLE bea_use IS '{}';".format(
        tbl_desc)).execution_options(autocommit=True)
    engine.execute(comment)
Beispiel #9
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def join_all_pce_to_sql():
    # personal consumption expenditures
    df = join_all_pce()
    df['Line'] = to_numeric(df['Line'], errors='coerce')
    df['Line'] = df['Line'].map(int)
    df['year'] = df['year'].map(int)

    types = {'GeoFIPS': TEXT,
             'GeoName': TEXT,
             'Region': TEXT,
             'TableName': TEXT,
             'ComponentName': TEXT,
             'units': TEXT,
             'Line': INTEGER,
             'Description': TEXT,
             'year': INTEGER,
             'value': FLOAT}
    df.to_sql('pce', con=engine, if_exists='replace', dtype=types)

    tbl_desc = 'BEA Personal Consumer Expenditures -- https://apps.bea.gov/itable/iTable.cfm?ReqID=70&step=1'
    comment = text("COMMENT ON TABLE pce IS '{}';".format(
        tbl_desc)).execution_options(autocommit=True)
    engine.execute(comment)
def file_parser_to_sql():
    # parse Commodity Flow Survey
    df, apdx1, apdx2, apdx3, apdx4 = file_parser()

    types = {'SHIPMT_ID': INTEGER,
             'ORIG_STATE': TEXT,
             'ORIG_MA': TEXT,
             'ORIG_CFS_AREA': TEXT,
             'DEST_STATE': TEXT,
             'DEST_MA': TEXT,
             'DEST_CFS_AREA': TEXT,
             'NAICS': TEXT,
             'QUARTER': INTEGER,
             'SCTG': TEXT,
             'SCTG_desc': TEXT,
             'MODE': INTEGER,
             'SHIPMT_VALUE': FLOAT,
             'SHIPMT_VALUE_units': TEXT,
             'SHIPMT_WGHT': FLOAT,
             'SHIPMT_WGHT_units': TEXT,
             'SHIPMT_DIST_GC': INTEGER,
             'SHIPMT_DIST_GC_units': TEXT,
             'SHIPMT_DIST_ROUTED': INTEGER,
             'SHIPMT_DIST_ROUTED_units': TEXT,
             'TEMP_CNTL_YN': TEXT,
             'EXPORT_YN': TEXT,
             'EXPORT_CNTRY': TEXT,
             'HAZMAT': TEXT,
             'WGT_FACTOR': FLOAT}
    df.to_sql('cfs_2012', con=engine, if_exists='replace', dtype=types)

    tbl_desc = '2012 Commodity Flow Survey -- https://www.census.gov/programs-surveys/cfs.html'
    comment = text("COMMENT ON TABLE cfs_2012 IS '{}';".format(
        tbl_desc)).execution_options(autocommit=True)
    engine.execute(comment)

    types = {'from': TEXT, 'to': TEXT}
    apdx1.to_sql('cfs_2012_orig_dest_cfs_area_map', con=engine, if_exists='replace', dtype=types)

    tbl_desc = '2012 Commodity Flow Survey -- Descriptions from Appendix 1'
    comment = text("COMMENT ON TABLE cfs_2012_orig_dest_cfs_area_map IS '{}';".format(
        tbl_desc)).execution_options(autocommit=True)
    engine.execute(comment)

    types = {'from': INTEGER, 'to': TEXT}
    apdx2['from'] = apdx2['from'].map(int)
    apdx2.to_sql('cfs_2012_naics_map', con=engine, if_exists='replace', dtype=types)

    tbl_desc = '2012 Commodity Flow Survey -- Descriptions from Appendix 2'
    comment = text("COMMENT ON TABLE cfs_2012_naics_map IS '{}';".format(
        tbl_desc)).execution_options(autocommit=True)
    engine.execute(comment)

    types = {'from': TEXT, 'to': TEXT}
    apdx3.to_sql('cfs_2012_sctg_map', con=engine, if_exists='replace')

    tbl_desc = '2012 Commodity Flow Survey -- Descriptions from Appendix 3'
    comment = text("COMMENT ON TABLE cfs_2012_sctg_map IS '{}';".format(
        tbl_desc)).execution_options(autocommit=True)
    engine.execute(comment)

    types = {'from': INTEGER, 'to': TEXT}
    apdx4['from'] = apdx4['from'].map(int)
    apdx4.to_sql('cfs_2012_mode_map', con=engine, if_exists='replace')

    tbl_desc = '2012 Commodity Flow Survey -- Descriptions from Appendix 4'
    comment = text("COMMENT ON TABLE cfs_2012_mode_map IS '{}';".format(
        tbl_desc)).execution_options(autocommit=True)
    engine.execute(comment)