237 lines
7.3 KiB
Python
237 lines
7.3 KiB
Python
"""This parses the varlib.csv but only in a way
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that is actually useful for the site"""
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import csv
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import os
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import shutil
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from tempfile import NamedTemporaryFile
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script_dir = os.path.dirname(__file__)
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data_dir = os.path.abspath(os.path.join(script_dir, "../data"))
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image_dir = os.path.abspath(os.path.join(script_dir, "../static/images"))
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fieldnames = [
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"Id",
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"Publication",
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"Author",
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"Year",
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"Custodian",
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"Fields",
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"Type",
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"Publishers",
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"License",
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"LicenseShort",
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"Highlights",
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"Comments",
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"Currently borrowed by",
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]
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def parsecsv():
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"""Test function to inspect csv file as dict"""
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libcsv = open(os.path.join(data_dir, "varlib.csv"), "r")
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with libcsv:
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csv_as_dict = csv.DictReader(libcsv)
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return csv_as_dict
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def getpublications():
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"""get an overview of all publications for the main page"""
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libcsv = open(os.path.join(data_dir, "varlib.csv"), "r")
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with libcsv:
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csv_as_dict = csv.DictReader(libcsv)
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publications = {}
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for row in csv_as_dict:
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year = row["Year"]
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if not year:
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year = "Unknown"
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pubinfo = {
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"Title": row["Publication"],
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"Author": row["Author"],
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"Type": row["Type"].lower().title(),
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"Year": year,
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"License": row["LicenseShort"].lower().title(),
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"Image": hasimage(row["Id"]),
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}
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publications[row["Id"]] = pubinfo
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return publications
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def hasimage(id):
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"""does this Id from the csv have an image uploaded"""
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image_jpg = os.path.join(image_dir, "image-{0}.jpg".format(id))
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if os.path.exists(image_jpg):
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return True
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else:
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return False
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def gettypes():
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"""for the dynamic menu get the unique types of publicatons"""
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libcsv = open(os.path.join(data_dir, "varlib.csv"), "r")
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with libcsv:
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csv_as_dict = csv.DictReader(libcsv)
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listoftypes = []
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for row in csv_as_dict:
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lowertype = row["Type"].lower().title()
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if lowertype not in listoftypes:
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listoftypes.append(lowertype)
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return listoftypes
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def getyears():
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"""for the dynamic menu get the unique years for publicatons"""
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libcsv = open(os.path.join(data_dir, "varlib.csv"), "r")
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with libcsv:
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csv_as_dict = csv.DictReader(libcsv)
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listofyears = []
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for row in csv_as_dict:
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uniqueyear = row["Year"]
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if not uniqueyear:
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uniqueyear = "Unknown"
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if uniqueyear not in listofyears:
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listofyears.append(uniqueyear)
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listofyears.sort()
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return listofyears
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def getlicenses():
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"""for the dynamic menu get the unique liscenses for publicatons"""
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libcsv = open(os.path.join(data_dir, "varlib.csv"), "r")
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with libcsv:
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csv_as_dict = csv.DictReader(libcsv)
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listoflicenses = []
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for row in csv_as_dict:
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license = row["LicenseShort"].lower().title()
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if not license:
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license = "No License Mentioned"
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if license not in listoflicenses:
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listoflicenses.append(license)
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return listoflicenses
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def getfieldsofinterest():
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"""for the R&R page get the fields of interest from the publicatons"""
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libcsv = open(os.path.join(data_dir, "varlib.csv"), "r")
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with libcsv:
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csv_as_dict = csv.DictReader(libcsv)
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fieldsofinterest = {}
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for row in csv_as_dict:
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fields = row["Fields"].split(",")
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fieldsofinterest[row["Id"]] = fields
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return fieldsofinterest
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def getpublicationfromcsvrow(row):
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"""get entire publication info from a csv row"""
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year = row["Year"]
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if not year:
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year = "Unknown"
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license = row["License"]
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if not license:
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license = "No license mentioned"
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borrowed = row["Currently borrowed by"]
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if not borrowed:
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borrowed = "No one"
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pubinfo = {
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"Title": row["Publication"],
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"Author": row["Author"],
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"Year": year,
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"Custodian": row["Custodian"],
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"Fields": row["Fields"],
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"Type": row["Type"],
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"Publishers": row["Publishers"],
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"License": license,
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"Highlights": row["Highlights"],
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"Comments": row["Comments"],
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"Borrowed": borrowed,
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"Image": hasimage(row["Id"]),
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}
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return pubinfo
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def getfullpublication(pubid):
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"""For the single book view, most complete overview"""
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libcsv = open(os.path.join(data_dir, "varlib.csv"), "r")
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pubinfo = {}
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with libcsv:
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csv_as_dict = csv.DictReader(libcsv)
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for row in csv_as_dict:
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if pubid == row["Id"]:
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pubinfo = getpublicationfromcsvrow(row)
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# print(pubinfo)
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return pubinfo
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def generatenewpublicationid():
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"""When uploading a book generate a new unique ID"""
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libcsv = open(os.path.join(data_dir, "varlib.csv"), "r")
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allidsincsv = []
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with libcsv:
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csv_as_dict = csv.DictReader(libcsv)
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for row in csv_as_dict:
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allidsincsv.append(int(row["Id"]))
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return str(max(allidsincsv) + 1)
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def writepublication(uploadform):
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"""When uploading a publication writes entry to the csv"""
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id = generatenewpublicationid()
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with open(
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os.path.join(data_dir, "varlib.csv"), "a", newline=""
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) as csvfile:
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csv_as_writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
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csv_as_writer.writerow(
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{
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"Id": id,
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"Publication": uploadform.uploadpublication.data,
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"Author": uploadform.author.data,
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"Year": uploadform.year.data,
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"Custodian": uploadform.custodian.data,
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"Fields": uploadform.fields.data,
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"Type": uploadform.type.data,
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"Publishers": uploadform.publishers.data,
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"License": uploadform.license.data,
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"LicenseShort": uploadform.licenseshort.data,
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"Highlights": uploadform.highlights.data,
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"Comments": uploadform.comments.data,
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"Currently borrowed by": uploadform.borrowed.data,
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}
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)
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print("succesfully written book to csv")
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return id
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def editborrowedby(pubid, borrower):
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"""Edits the borrowed by field for a publication entry in csv"""
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tempfile = NamedTemporaryFile("w+t", newline="", delete=False)
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filename = os.path.join(data_dir, "varlib.csv")
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with open(filename, "r", newline="") as libcsv, tempfile:
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csv_as_dict = csv.DictReader(libcsv)
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csv_as_writer = csv.DictWriter(tempfile, fieldnames=fieldnames)
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# use the reader to read where, then writer to write the new row.
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csv_as_writer.writeheader()
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for row in csv_as_dict:
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if pubid == row["Id"]:
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print("publication changes borrower")
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print(row["Publication"])
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row["Currently borrowed by"] = borrower
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csv_as_writer.writerow(row)
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shutil.move(tempfile.name, filename)
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def concatenate_csv_row(row):
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rowcontent = []
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rowcontent.append(row["Publication"])
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rowcontent.append(row["Author"])
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rowcontent.append(row["Fields"])
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rowcontent.append(row["Type"])
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rowcontent.append(row["Publishers"])
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rowcontent.append(row["Highlights"])
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rowcontent.append(row["Comments"])
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return " ".join(rowcontent)
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