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processArcsData.py
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processArcsData.py
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from json import load, dump, dumps
import os
import logging
import re
import pandas as pd
from logging.config import fileConfig
import openpyxl
fileConfig('logging_config.ini')
logger = logging.getLogger(__name__)
config = {
"files": [
{
"purpose": "input",
"name": "arcsdata",
"ext": "json"
},
{
"purpose": "output",
"name": "DeliverableNotesDocManagement",
"ext": "xlsx",
"folders": ["Google Drive (david.gloyn-cox@thoughtswinsystems.com)", "BCFSA"],
"root": "~",
"config":{
"ARCS":{
"Primary": {
"sheet": "ARCS - Primaries",
"range": "TBL_ARCS_P",
"cols": [
{
"name": "IDX",
"src": {
"field": "title",
"regex": r"^[\d]+"
}
},
{
"name": "Business Function",
"src": {}
},
{
"name": "Primary",
"src": {
"field": "title",
"regex": "^[\d]+[ -](.*) - Province of British Columbia"
}
},
{
"name": "Notes",
"src": {
"field": "text"
}
}
]
}
}
}
}
]
}
def load_json(filepath):
"""Will load the file and return a data object
if file is missing it will return a None"""
data = None
logger.info("Found {} \n\t{}".format(filepath, os.path.exists(filepath)))
if os.path.exists(filepath):
logger.info("loading file...")
# Load credentials from json file
with open(filepath, encoding="utf-8") as f:
data = load(f)
return data
def main():
sources = config.get("files")
if len(sources) > 0:
for f in sources:
root = f.get("root", os.getcwd() )
folders = f.get("folders", [])
name = f.get("name")
ext = f.get("ext")
if f.get("purpose") == "input":
input_file = os.path.expanduser(os.path.join(root, *folders, "{}.{}".format(name, ext)))
input_config = f.get("config", {})
if f.get("purpose") == "output":
output_file = os.path.expanduser(os.path.join(root, *folders, "{}.{}".format(name, ext)))
output_config = f.get("config", {})
logger.info("input file: {}".format(input_file))
logger.info("output file: {}".format(output_file))
src_data = load_json(input_file)
# process the data
regex = re.compile(r'(\d+)[ -]+(.*) -')
if src_data:
primaries = []
secondaries = []
for item in src_data:
logger.info("\t{}".format(item.get("title")))
header = item.get("title")
m = regex.match(header)
if m:
idx = m.group(1)
title = m.group(2)
primaries.append(
{
"idx": int(idx),
"primary": title,
"notes": item.get("text")
}
)
# process the data elements
for row in item.get('data', []):
text = row.get("text")
notes = row.get("text")
lines = text.splitlines()
if len(lines) > 0:
text = lines[0]
notes = "\n".join(lines[1:])
secondaries.append({
"idx": row.get("series"),
"pidx": int(idx),
"primary": title,
"Secondary": text,
"a": row.get("a"),
"sa": row.get("sa"),
"fd": row.get("fd"),
"notes": notes
})
logger.info("added {} primaries".format(len(primaries)))
logger.info("added {} secondaries".format(len(secondaries)))
df_prim = pd.DataFrame.from_dict(primaries)
df_sec = pd.DataFrame.from_dict(secondaries)
df_prim.to_excel("primaries.xlsx")
df_sec.to_excel("secondaries.xlsx")
if __name__ == "__main__":
main()