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DriveBC_maps.py
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DriveBC_maps.py
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"""
Create maps from DriveBC data
Description:
0. Set working directory
1. Query data from DriveBC, write to CSV
- 'records' parameter can be used to define query limit (default is 500)
2. Create a geodatabase from .CSV of DriveBC data
3. Import data to pre-built ArcGIS Pro project, export as .pdf maps
Inputs and environment:
Working directory - select a folder to store output and intermediate data
ArcGIS Project - extract 'DriveBC_prj.zip' to the working directory.
The 'DriveBC_prj' folder contains the project file with the needed map and layout.
Pandas library - required
Russell Vinegar
2021-12-11
Python version 3.7.10
"""
def getdata(records = "500"):
csv_path = 'jsonoutput.csv'
# function to download data to csv
def dataquery():
import requests
import pandas as pd
# query data
print("Querying DriveBC API...", end='')
params = {
"limit": records,
}
url = 'https://api.open511.gov.bc.ca/events'
data_dl = requests.get(url, params)
jsondata = data_dl.json() # convert to JSON object
# flatten the nested dictionary
df = pd.json_normalize(jsondata, record_path =['events'])
# remove unnecessary columns
del df['jurisdiction_url'], df['+ivr_message'], df['+linear_reference_km']
try:
del df['schedule.recurring_schedules']
except:
a = 1
# convert event_subtype values into a string
df['event_subtypes'] = df['event_subtypes'].apply(lambda x: str(x)) # apply method wants to use a function, lambda defines it in place
df['event_subtypes'] = df['event_subtypes'].apply(lambda x: x[2:-2])
# rename columns with dots in them
df = df.rename({'schedule.intervals': 'schedule_intervals', 'geography.type': 'geography_type', 'geography.coordinates': 'geography_coordinates'}, axis=1)
# export to CSV
df.to_csv (csv_path)
print(df.shape[0], "records retrieved")
# set working directory
import os
print("Current working directory:", os.getcwd())
change = input("Change working directory? (Y/N)")
while change.lower() == 'y':
newdir = input("Provide new directory path:")
if os.path.isdir(newdir):
os.chdir(newdir)
print("Working directory set to", newdir)
change = 'n'
else:
print("Invalid path")
### DOWNLOAD DRIVEBC DATA ###
print('QUERY DATA')
import time
if os.path.isfile(csv_path):
# Get file's Last modification time stamp only in terms of seconds since epoch
modTimesinceEpoc = os.path.getmtime(csv_path)
# Convert seconds since epoch to readable timestamp
modificationTime = time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(modTimesinceEpoc))
print("Last Modified Time : ", modificationTime )
update = input('DriveBC data already exists. Update now? (Y/N)')
if update.lower() == 'y':
dataquery()
print("Data updated at", time.strftime("%H:%M:%S", time.localtime()))
else:
dataquery()
print("Data updated at", time.strftime("%H:%M:%S", time.localtime()))
# set query limit if desired:
getdata(records="500")
def csv2gdb():
import os
print('CONVERT DATA TO GEODATABASE')
### CREATE GEODATABASE ###
print('Creating geodatabase...', end='')
import arcpy
out_folder_path = os.getcwd()
gdb_path = "driveBC.gdb"
# create file geodatabase if not already there
if os.path.isdir(gdb_path) == False:
arcpy.CreateFileGDB_management(out_folder_path, gdb_path)
print('gdb created')
else:
print('gdb already exists')
### CREATE FEATURE CLASSES ###
# set environments
import arcpy
working_path = os.getcwd()+r"\driveBC.gdb"
arcpy.env.workspace = working_path
arcpy.env.overwriteOutput = True
# delete existing feature classes
print('Deleting existing feature classes...', end='')
try:
arcpy.Delete_management('pts')
arcpy.Delete_management('lines')
print('Done')
except:
print('Nothing to delete')
# make blank point and line feature classes
print('Creating feature classes...')
template = 'jsonoutput.csv'
sr = arcpy.SpatialReference(4326)
arcpy.CreateFeatureclass_management(working_path, "pts", "POINT", template, spatial_reference = sr)
pointFC = 'pts'
arcpy.CreateFeatureclass_management(working_path, "lines", "POLYLINE", template, spatial_reference = sr)
polylineFC = 'lines'
# loop through all records in .csv and write to FC's
import pandas as pd
import re
df = []
df = pd.read_csv('jsonoutput.csv')
index_val = 0
pt_index_val = 0
line_index_val = 0
while index_val < len(df):
# Decide point or line
feat_type = df.iloc[index_val].at['geography_type']
# Do this for points
if feat_type == 'Point':
# Get coordinates for point
pt_coord = df.iloc[index_val].at['geography_coordinates'][1:-1]
pt_coord = re.split(",", pt_coord) # create list of x,y
lat = float(pt_coord[1])
lon = float(pt_coord[0])
vertex = (lon, lat) # define point geometry
# Write the coordinate list to the feature class as a point feature
with arcpy.da.InsertCursor(pointFC, ('SHAPE@XY')) as cursor:
cursor.insertRow((vertex,))
# Get attribute values for point
headers = list(df.columns[1:])
column_values = {}
for column in headers:
column_values[column] = df.iloc[index_val].at[column]
sql_exp = f"OBJECTID = {pt_index_val+1}"
# Use update cursor to add attribute data
with arcpy.da.UpdateCursor(pointFC, field_names = ('url',
'id',
'headline',
'status',
'created',
'updated',
'description',
'event_type',
'event_subtypes',
'severity',
'roads',
'areas',
'schedule_intervals',
'geography_type',
'geography_coordinates',), where_clause = sql_exp) as cursor2:
for row in cursor2:
for column in headers:
for x in range(0,15):
row[x] = list(column_values.values())[x]
cursor2.updateRow(row)
print(index_val, ": point", pt_index_val+1, "added")
pt_index_val +=1
index_val += 1
# Do this for lines
elif feat_type == 'LineString':
# Get coordinates for line from CSV
line_str = df.iloc[index_val].at['geography_coordinates'][1:-1] # set variable for list coordinates from csv
line_list = re.split("(\[.+?\])", line_str) # split string into list
for pt in line_list: # remove comma-only items from list
if "[" not in pt:
line_list.remove(pt)
new_line = [] # remove leading and trailing square brackets
for pt in line_list:
new_line.append(pt.translate({91: '', 93:''}))
new_line2 = [] # create list of lists (for each pt)
for pt in new_line:
new_line2.append(re.split(",", pt))
# Create an empty list in which to make nice geometry for ArcGIS
vertices = []
# loop through the points and get each coordinate
for pt in new_line2:
lat = float(pt[1])
lon = float(pt[0])
# Put the coords into a tuple and add it to the list
vertex = (lon,lat)
vertices.append(vertex)
# Write the coordinate list to the feature class as a polyline feature
with arcpy.da.InsertCursor(polylineFC, ('SHAPE@')) as cursor:
cursor.insertRow((vertices,))
# Get attribute values for line
headers = list(df.columns[1:])
column_values = {}
for column in headers:
column_values[column] = df.iloc[index_val].at[column]
sql_exp = f"OBJECTID = {line_index_val+1}"
# Use update cursor to add attribute data
with arcpy.da.UpdateCursor(polylineFC, field_names = ('url',
'id',
'headline',
'status',
'created',
'updated',
'description',
'event_type',
'event_subtypes',
'severity',
'roads',
'areas',
'schedule_intervals',
'geography_type',
'geography_coordinates',), where_clause = sql_exp) as cursor3:
for row in cursor3:
for column in headers:
for x in range(0,14):
row[x] = list(column_values.values())[x]
cursor3.updateRow(row)
print(index_val, ": line", line_index_val+1, "added")
line_index_val +=1
index_val += 1
print('All features created successfully')
csv2gdb()
def exportmaps():
print('EXPORT MAPS')
print('Importing data...', end='')
### IMPORT UPDATED FEATURE CLASSES TO PROJECT ###
import os
import arcpy
# set environments
map_working_path = os.getcwd()+r"\DriveBC_prj"
arcpy.env.workspace = map_working_path
arcpy.env.overwriteOutput = True
sr = arcpy.SpatialReference(4326)
with arcpy.EnvManager(outputCoordinateSystem=sr):
pts = os.getcwd()+"\\driveBC.gdb\\pts"
lines = os.getcwd()+"\\driveBC.gdb\\lines"
ReclassLUT_csv = "ReclassLUT.csv"
# Join to simplify symbology fields (pts)
pts = arcpy.management.JoinField(in_data=pts, in_field="event_type", join_table=ReclassLUT_csv, join_field="pt_event_type", fields=["pt_event_type_simp"])[0]
# Copy feature to overwrite existing feature class data source (pts)
pts_import = "\\DriveBC_prj.gdb\\pts_import"
arcpy.management.CopyFeatures(in_features=pts, out_feature_class=pts_import, config_keyword="", spatial_grid_1=None, spatial_grid_2=None, spatial_grid_3=None)
# Join to simplify symbology fields (lines)
lines = arcpy.management.JoinField(in_data=lines, in_field="event_type", join_table=ReclassLUT_csv, join_field="line_event_type", fields=["line_event_type_simp"])[0]
# Copy feature to overwrite existing feature class data source (lines)
lines_import = "\\DriveBC_prj.gdb\\lines_import"
arcpy.management.CopyFeatures(in_features=lines, out_feature_class=lines_import, config_keyword="", spatial_grid_1=None, spatial_grid_2=None, spatial_grid_3=None)
print("Done")
### EXPORT LAYOUTS ###
print(f"Exporting maps to {os.getcwd()}"+r'\export')
aprx = arcpy.mp.ArcGISProject(os.getcwd()+r'\DriveBC_prj\DriveBC_prj.aprx')
lyt = aprx.listLayouts()[0]
mf = lyt.listElements("MAPFRAME_ELEMENT")[0]
if not os.path.exists('export'):
os.makedirs('export')
bkmks = mf.map.listBookmarks()
for bkmk in bkmks:
mf.zoomToBookmark(bkmk)
lyt.name = bkmk.name
lyt.exportToPDF(os.path.join('export', f"{bkmk.name}.pdf"))
print(f"{bkmk.name}.pdf exported")
print("All maps exported successfully.")
# Save geodatabase
import time
saveit = input('Save ArcGIS project? (Y/N)')
if saveit.lower() == 'y':
aprx.saveACopy(os.path.join(os.getcwd()+r'\DriveBC_prj\DriveBC_prj_updated_'+time.strftime("%d%m%Y_%H%M", time.localtime())+'.aprx'))
print('Project saved.')
del aprx
exportmaps()