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grfiv revised this gist
Apr 5, 2021 . 1 changed file with 8 additions and 14 deletions.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -82,17 +82,16 @@ pd.DataFrame(data=item_data,index=[pd.Timestamp(datetime.datetime.today())]) ## -------------------- ## Read historical data ## -------------------- end_timestamp = int(time.time()) start_timestamp = end_timestamp - 86400 # maximum: 24 hours t = int(time.time()) message_to_hash = "api-key{}end-timestamp{}start-timestamp{}station-id{}t{}"\ .format(APIKeyv2, end_timestamp, start_timestamp, station_id, t) #print(message_to_hash) apiSignature = hmac.new( @@ -102,13 +101,9 @@ ).hexdigest() #print(apiSignature) historic_url = "https://api.weatherlink.com/v2/historic/{}?api-key={}&t={}&start-timestamp={}&end-timestamp={}&api-signature={}"\ .format(station_id, APIKeyv2, t, start_timestamp, end_timestamp, apiSignature) #print(historic_url,'\n') with urllib.request.urlopen(historic_url) as url: data = json.loads(url.read().decode()) @@ -118,7 +113,6 @@ local_timezone = tzlocal.get_localzone() df['date'] = [pd.Timestamp(datetime.datetime.fromtimestamp(ts, local_timezone).strftime("%Y-%m-%d %H:%M:%S.%f%z (%Z)")) for ts in df.ts] df.set_index('date',inplace=True) df.sort_index(inplace=True) -
grfiv revised this gist
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -10,6 +10,7 @@ import datetime import time import tzlocal import matplotlib.pyplot as plt import hashlib import hmac -
grfiv revised this gist
Apr 5, 2021 . 1 changed file with 11 additions and 10 deletions.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -21,7 +21,9 @@ APISecret = '... and this' ## ---------------------- ## Read the stations data ## ---------------------- t = int(time.time()) message_to_hash = "api-key{}t{}"\ @@ -47,25 +49,24 @@ station_name = data['stations'][0]['station_name'] print("\nstation_id: {}\nstation_name: {}".format(station_id,station_name)) ## -------------------------------- ## Read the current conditions data ## -------------------------------- t = int(time.time()) message_to_hash = "api-key{}station-id{}t{}"\ .format(APIKeyv2, station_id, t) #print(message_to_hash) apiSignature = hmac.new( APISecret.encode('utf-8'), message_to_hash.encode('utf-8'), hashlib.sha256 ).hexdigest() current_url = "https://api.weatherlink.com/v2/current/{}?api-key={}&t={}&api-signature={}"\ .format(station_id, APIKeyv2, t, apiSignature) #print(current_url,'\n') with urllib.request.urlopen(current_url) as url: data = json.loads(url.read().decode()) -
grfiv revised this gist
Apr 5, 2021 . 1 changed file with 10 additions and 8 deletions.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -20,32 +20,34 @@ APIKeyv2 = 'get this for your device' APISecret = '... and this' ## Read the stations data t = int(time.time()) message_to_hash = "api-key{}t{}"\ .format(APIKeyv2, t) apiSignature = hmac.new( APISecret.encode('utf-8'), message_to_hash.encode('utf-8'), hashlib.sha256 ).hexdigest() stations_url = "https://api.weatherlink.com/v2/stations?api-key={}&t={}&api-signature={}"\ .format(APIKeyv2, t, apiSignature) #print(stations_url,'\n') with urllib.request.urlopen(stations_url) as url: data = json.loads(url.read().decode()) print(json.dumps(data, indent=4, sort_keys=False)) # in my case, there is only one station # modifications are required if more than one station_id = data['stations'][0]['station_id'] station_name = data['stations'][0]['station_name'] print("\nstation_id: {}\nstation_name: {}".format(station_id,station_name)) ## Read the current conditions data t = str(int(time.time())) -
grfiv revised this gist
Apr 5, 2021 . 1 changed file with 1 addition and 1 deletion.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -110,7 +110,7 @@ data = json.loads(url.read().decode()) df = pd.DataFrame(data=data['sensors'][0]['data']) local_timezone = tzlocal.get_localzone() -
grfiv revised this gist
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -1,4 +1,6 @@ # WeatherLink is a sensor that detects particulate matter in the air # see https://www.davisinstruments.com # It is very useful for determining the air quality in your home or office # The tutorial (https://weatherlink.github.io/v2-api/tutorial) is very good but insufficient # The code I found online was mostly incomplete, to say the least -
grfiv created this gist
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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,126 @@ # WeatherLink is a sensor that detects particulate matter in the air # It is very useful for determining the air quality in your home or office # The tutorial (https://weatherlink.github.io/v2-api/tutorial) is very good but insufficient # The code I found online was mostly incomplete, to say the least import numpy as np import pandas as pd import datetime import time import tzlocal import hashlib import hmac import time import urllib.request import json APIKeyv2 = 'get this for your device' APISecret = '... and this' ## Read the stations data t = str(int(time.time())) message_to_hash = 'api-key'+APIKeyv2+'t'+t apiSignature = hmac.new( APISecret.encode('utf-8'), message_to_hash.encode('utf-8'), hashlib.sha256 ).hexdigest() stations_url = 'https://api.weatherlink.com/v2/stations?'+\ 'api-key='+APIKeyv2+\ '&t='+t+\ '&api-signature='+apiSignature print(stations_url,'\n') with urllib.request.urlopen(stations_url) as url: data = json.loads(url.read().decode()) print(json.dumps(data, indent=4, sort_keys=False)) station_id = data['stations'][0]['station_id'] station_name = data['stations'][0]['station_name'] print("\nstation_id: {}\nstation_name: {}".format(station_id,station_name)) ## Read the current conditions data t = str(int(time.time())) message_to_hash = 'api-key'+APIKeyv2+'station-id'+str(station_id)+'t'+t print(message_to_hash) apiSignature = hmac.new( APISecret.encode('utf-8'), message_to_hash.encode('utf-8'), hashlib.sha256 ).hexdigest() current_url = 'https://api.weatherlink.com/v2/current/'+str(station_id)+\ '?api-key='+APIKeyv2+\ '&t='+t+\ '&api-signature='+apiSignature print(current_url,'\n') with urllib.request.urlopen(current_url) as url: data = json.loads(url.read().decode()) #print(json.dumps(data, indent=4, sort_keys=True)) current_data = data['sensors'][0]['data'][0] current_items = ["hum","temp","aqi_val","pm_1","pm_2p5","pm_10"] item_data = {} for item in current_items: item_data[item] = int(current_data[item]) pd.DataFrame(data=item_data,index=[pd.Timestamp(datetime.datetime.today())]) ## Read historical data end_timestamp = int(time.time()) start_timestamp = end_timestamp - 86400 # maximum: 24 hours t = str(int(time.time())) message_to_hash = 'api-key'+APIKeyv2+\ 'end-timestamp'+str(end_timestamp)+\ 'start-timestamp'+str(start_timestamp)+\ 'station-id'+str(station_id)+\ 't'+t #print(message_to_hash) apiSignature = hmac.new( APISecret.encode('utf-8'), message_to_hash.encode('utf-8'), hashlib.sha256 ).hexdigest() #print(apiSignature) historic_url = 'https://api.weatherlink.com/v2/historic/'+str(station_id)+\ '?api-key='+APIKeyv2+\ '&t='+t+\ '&start-timestamp='+str(start_timestamp)+\ '&end-timestamp='+str(end_timestamp)+\ '&api-signature='+apiSignature print(historic_url,'\n') with urllib.request.urlopen(historic_url) as url: data = json.loads(url.read().decode()) df = pd.DataFrame(data=data['sensors'][0]['data']) #.strftime('%Y-%m-%d %H:%M:%S') local_timezone = tzlocal.get_localzone() df['date'] = [pd.Timestamp(datetime.datetime.utcfromtimestamp(ts).strftime('%Y-%m-%d %H:%M:%S')) for ts in df.ts] df['date'] = [pd.Timestamp(datetime.datetime.fromtimestamp(ts, local_timezone).strftime("%Y-%m-%d %H:%M:%S.%f%z (%Z)")) for ts in df.ts] df.set_index('date',inplace=True) df.sort_index(inplace=True) display(df) ## Plot 24 hours of particulate matter df.loc[:,['pm_1_avg','pm_2p5_avg','pm_10_avg']].plot(figsize=(20,20)) plt.grid() plt.axhline(y=12) # PM2.5 max healthy level plt.show()