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month end automation
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Jun-te Kim
parent
e1842b4150
commit
542a788a85
2 changed files with 199 additions and 1 deletions
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@ -9,6 +9,7 @@ import json
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monday_key = "eyJhbGciOiJIUzI1NiJ9.eyJ0aWQiOjQ5ODc2ODQxOCwiYWFpIjoxMSwidWlkIjozNjE3ODAzNCwiaWFkIjoiMjAyNS0wNC0xMVQxMToyMzoxNy40NjdaIiwicGVyIjoibWU6d3JpdGUiLCJhY3RpZCI6MTM5OTc4MjMsInJnbiI6InVzZTEifQ.-2Lit4s46ZF6AXuMW9t0TxIaFLkHqD4Yo-PyM9i2XZY"
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monday = MondayClient(monday_key)
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# NCHK SHDF Westville Wave 1 & 2
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board_ids = ["3900434153"]
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@ -17,7 +18,7 @@ for board in tqdm(board_ids):
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columns = board_data["data"]["boards"][0]["columns"]
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col_id_map = {col["title"].lower(): col["id"] for col in columns}
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reversed_col_id_map = {v: k for k, v in col_id_map.items()}
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items = get_all_items(board, monday)
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197
etl/month_end_automation_wave_3_layout.py
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197
etl/month_end_automation_wave_3_layout.py
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@ -0,0 +1,197 @@
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# Wave 2's month end automation
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from tqdm import tqdm
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from monday import MondayClient
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from etl.osmosis_complaince_address_to_files import get_all_items, extract_asset_ids
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from pprint import pprint
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import pandas as pd
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import json
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monday_key = "eyJhbGciOiJIUzI1NiJ9.eyJ0aWQiOjQ5ODc2ODQxOCwiYWFpIjoxMSwidWlkIjozNjE3ODAzNCwiaWFkIjoiMjAyNS0wNC0xMVQxMToyMzoxNy40NjdaIiwicGVyIjoibWU6d3JpdGUiLCJhY3RpZCI6MTM5OTc4MjMsInJnbiI6InVzZTEifQ.-2Lit4s46ZF6AXuMW9t0TxIaFLkHqD4Yo-PyM9i2XZY"
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monday = MondayClient(monday_key)
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# WCHG Walkups-Operations
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board_ids = ["9349630181"]
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for board in tqdm(board_ids):
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board_data = monday.boards.fetch_boards_by_id(board)
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columns = board_data["data"]["boards"][0]["columns"]
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col_id_map = {col["title"].lower(): col["id"] for col in columns}
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reversed_col_id_map = {v: k for k, v in col_id_map.items()}
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items = get_all_items(board, monday)
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all_records = []
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for row in tqdm(items):
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data = {}
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data.update({"address": row['name']})
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data.update({"client": row['group']['title']})
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for col in row.get("column_values", []):
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if col.get("id") in reversed_col_id_map:
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if col.get("type") == "file":
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value = col.get("value")
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no_of_files = 0
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if value:
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value = json.loads(col["value"])
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no_of_files = len(value.get('files', []))
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data.update({reversed_col_id_map[col.get("id")]: no_of_files})
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# elif "no show" in reversed_col_id_map[col.get("id")]:
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# def extract_number_from_text(text):
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# number_str = ''
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# for char in text:
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# if char.isnumeric():
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# number_str += char
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# elif number_str:
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# break # stop once a number sequence ends
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# return int(number_str) if number_str else None
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# text = col.get("text")
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# if text is None:
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# data.update({
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# reversed_col_id_map[col.get("id")]: col.get("text")
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# })
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# else:
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# data.update({
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# reversed_col_id_map[col.get("id")]: extract_number_from_text(text)
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# })
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else:
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data.update({
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reversed_col_id_map[col.get("id")]: col.get("text")
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})
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all_records.append(data)
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# Convert to DataFrame
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df = pd.DataFrame(all_records)
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filtered_dfs = []
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# RA
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ra = df[
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df["ra invoicing status"].str.lower().isin(["to invoice"])
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].copy()
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ra["job_type"] = "RA"
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filtered_dfs.append(ra)
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# ATT
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att = df[
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df["pre att invoicing status"].str.lower().isin(["to invoice"])
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].copy()
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att["job_type"] = "ATT"
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filtered_dfs.append(att)
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# V1 Coordination
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v1 = df[
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df["mtp invoicing status"].str.lower().isin(["(v1) ioe/mtp to invoice"])
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].copy()
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v1["job_type"] = "V1 Coordination"
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filtered_dfs.append(v1)
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# V2 Coordination
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v2 = df[
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df["mtp invoicing status"].str.lower().isin(["(v2) ioe/mtp to invoice"])
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].copy()
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v2["job_type"] = "V2 Coordination"
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filtered_dfs.append(v2)
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# V3 Coordination
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v3 = df[
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df["mtp invoicing status"].str.lower().isin(["(v3) ioe/mtp to invoice"])
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].copy()
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v3["job_type"] = "V3 Coordination"
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filtered_dfs.append(v3)
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# Design stage 1
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design1 = df[
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df["design invoicing status"].str.lower().isin(["to invoice"])
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].copy()
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design1["job_type"] = "Design"
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filtered_dfs.append(design1)
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# Design Revision
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revision_letter = ['a', 'b', 'c', 'd']
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for letter in revision_letter:
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design2 = df[
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df["design revision invoice"].str.lower().isin([f"rev. {letter} to invoice"])
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].copy()
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design2["job_type"] = "Design Revision"
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filtered_dfs.append(design2)
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# Lodgement Phase 1
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lodg1 = df[
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df["lodgement phase 1 invoicing status"].str.lower().isin(["to invoice"])
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].copy()
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lodg1["job_type"] = "Lodgement Phase 1"
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filtered_dfs.append(lodg1)
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# Full Lodgement Phase
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lodg2 = df[
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df["full lodgement invoicing status"].str.lower().isin(["to invoice"])
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].copy()
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lodg2["job_type"] = "Full Lodgement"
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filtered_dfs.append(lodg2)
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# POST EPC
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post_epc = df[
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df["post epc & eval. invoicing status"].str.lower().isin(["to invoice"])
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].copy()
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post_epc["job_type"] = "POST EPC"
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filtered_dfs.append(post_epc)
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# # POST EPR, not right now
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# post_epr = df[
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# df["post-epc status"].str.lower().isin(["post epr completed"])
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# ].copy()
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# post_epr["job_type"] = "POST ATT"
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# filtered_dfs.append(post_epr)
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# Post ATT
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post_att = df[
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df["post att invoicing status"].str.lower().isin(["to invoice"])
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].copy()
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post_att["job_type"] = "POST ATT"
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filtered_dfs.append(post_att)
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# Retrofit Evaluation
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retro = df[
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df["rc stage 2 invoicing status"].str.lower().isin(["to invoice"])
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].copy()
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retro["job_type"] = "RC stage 2"
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filtered_dfs.append(retro)
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# RA NO Show
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ra_ns = df[
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df["ra no show invoice"].str.lower().isin(["to invoice","to invoice (+1 previous no show)", "to invoice (+2 previous no show)"])
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].copy()
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ra_ns["job_type"] = "RA NO SHOW"
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filtered_dfs.append(ra_ns)
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# ATT NO Show
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att_ns = df[
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df["pre att no show invoice"].str.lower().isin(["to invoice","to invoice (+1 previous no show)", "to invoice (+2 previous no show)"])
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].copy()
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att_ns["job_type"] = "ATT NO SHOW"
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filtered_dfs.append(att_ns)
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# Post visit no show
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#post work no show invoice
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epc_ns = df[
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df["post works no show invoice"].str.lower().isin(["to invoice","to invoice (+1 previous no show)", "to invoice (+2 previous no show)"])
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].copy()
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epc_ns["job_type"] = "EPC NO SHOW"
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filtered_dfs.append(epc_ns)
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final_df = pd.concat(filtered_dfs).drop_duplicates().reset_index(drop=True)
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final_df[['address', 'client', 'job_type']]
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