From 55dd01bebbc5b4b1bbbff682dc0635c411142040 Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Wed, 29 Jun 2016 15:23:55 +0200 Subject: [PATCH 1/6] add Python converter --- src/location_history_json_converter.py | 203 +++++++++++++++++++++++++ 1 file changed, 203 insertions(+) create mode 100644 src/location_history_json_converter.py diff --git a/src/location_history_json_converter.py b/src/location_history_json_converter.py new file mode 100644 index 0000000..dd9f7d1 --- /dev/null +++ b/src/location_history_json_converter.py @@ -0,0 +1,203 @@ +#!/usr/bin/env python + +# Copyright 2012 Gerwin Sturm, FoldedSoft e.U. / www.foldedsoft.at +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +from __future__ import division + +import sys +import json +import math +from argparse import ArgumentParser +from datetime import datetime + + +def main(argv): + arg_parser = ArgumentParser() + arg_parser.add_argument("input", help="Input File (JSON)") + arg_parser.add_argument("-o", "--output", help="Output File (will be overwritten!)") + arg_parser.add_argument("-f", "--format", choices=["kml", "json", "csv", "js", "gpx", "gpxtracks"], default="kml", help="Format of the output") + arg_parser.add_argument("-v", "--variable", default="locationJsonData", help="Variable name to be used for js output") + args = arg_parser.parse_args() + if not args.output: #if the output file is not specified, set to input filename with a diffrent extension + args.output = '.'.join(args.input.split('.')[:-1]) + '.'+args.format + if args.input == args.output: + arg_parser.error("Input and output have to be different files") + return + + try: + json_data = open(args.input).read() + except: + print("Error opening input file") + return + + try: + data = json.loads(json_data) + except: + print("Error decoding json") + return + + if "locations" in data and len(data["locations"]) > 0: + try: + f_out = open(args.output, "w") + except: + print("Error creating output file for writing") + return + + items = data["locations"] + + if args.format == "json" or args.format == "js": + if args.format == "js": + f_out.write("window.%s = " % args.variable) + + f_out.write("{\n") + f_out.write(" \"data\": {\n") + f_out.write(" \"items\": [\n") + first = True + + for item in items: + if first: + first = False + else: + f_out.write(",\n") + f_out.write(" {\n") + f_out.write(" \"timestampMs\": %s,\n" % item["timestampMs"]) + f_out.write(" \"latitude\": %s,\n" % (item["latitudeE7"] / 10000000)) + f_out.write(" \"longitude\": %s\n" % (item["longitudeE7"] / 10000000)) + f_out.write(" }") + f_out.write("\n ]\n") + f_out.write(" }\n}") + if args.format == "js": + f_out.write(";") + + if args.format == "csv": + f_out.write("Time,Location\n") + for item in items: + f_out.write(datetime.fromtimestamp(int(item["timestampMs"]) / 1000).strftime("%Y-%m-%d %H:%M:%S")) + f_out.write(",") + f_out.write("%s %s\n" % (item["latitudeE7"] / 10000000, item["longitudeE7"] / 10000000)) + + if args.format == "kml": + f_out.write("\n") + f_out.write("\n") + f_out.write(" \n") + f_out.write(" Location History\n") + for item in items: + f_out.write(" \n") + # Order of these tags is important to make valid KML: TimeStamp, ExtendedData, then Point + f_out.write(" ") + f_out.write(datetime.fromtimestamp(int(item["timestampMs"]) / 1000).strftime("%Y-%m-%dT%H:%M:%SZ")) + f_out.write("\n") + if "accuracy" in item or "speed" in item or "altitude" in item: + f_out.write(" \n") + if "accuracy" in item: + f_out.write(" \n") + f_out.write(" %d\n" % item["accuracy"]) + f_out.write(" \n") + if "speed" in item: + f_out.write(" \n") + f_out.write(" %d\n" % item["speed"]) + f_out.write(" \n") + if "altitude" in item: + f_out.write(" \n") + f_out.write(" %d\n" % item["altitude"]) + f_out.write(" \n") + f_out.write(" \n") + f_out.write(" %s,%s\n" % (item["longitudeE7"] / 10000000, item["latitudeE7"] / 10000000)) + f_out.write(" \n") + f_out.write(" \n\n") + + if args.format == "gpx" or args.format == "gpxtracks": + f_out.write("\n") + f_out.write("\n") + f_out.write(" \n") + f_out.write(" Location History\n") + f_out.write(" \n") + if args.format == "gpx": + for item in items: + f_out.write(" \n" % (item["latitudeE7"] / 10000000, item["longitudeE7"] / 10000000)) + if "altitude" in item: + f_out.write(" %d\n" % item["altitude"]) + f_out.write(" \n" % str(datetime.fromtimestamp(int(item["timestampMs"]) / 1000).strftime("%Y-%m-%dT%H:%M:%SZ"))) + f_out.write(" %s" % datetime.fromtimestamp(int(item["timestampMs"]) / 1000).strftime("%Y-%m-%d %H:%M:%S")) + if "accuracy" in item or "speed" in item: + f_out.write(" (") + if "accuracy" in item: + f_out.write("Accuracy: %d" % item["accuracy"]) + if "accuracy" in item and "speed" in item: + f_out.write(", ") + if "speed" in item: + f_out.write("Speed:%d" % item["speed"]) + f_out.write(")") + f_out.write("\n") + f_out.write(" \n") + if args.format == "gpxtracks": + f_out.write(" \n") + f_out.write(" \n") + lastloc = None + # The deltas below assume input is in reverse chronological order. If it's not, uncomment this: + # items = sorted(data["data"]["items"], key=lambda x: x['timestampMs'], reverse=True) + for item in items: + if lastloc: + timedelta = -((int(item['timestampMs']) - int(lastloc['timestampMs'])) / 1000 / 60) + distancedelta = getDistanceFromLatLonInKm(item['latitudeE7'] / 10000000, item['longitudeE7'] / 10000000, lastloc['latitudeE7'] / 10000000, lastloc['longitudeE7'] / 10000000) + if timedelta > 10 or distancedelta > 40: + # No points for 10 minutes or 40km in under 10m? Start a new track. + f_out.write(" \n") + f_out.write(" \n") + f_out.write(" \n") + f_out.write(" \n") + f_out.write(" \n" % (item["latitudeE7"] / 10000000, item["longitudeE7"] / 10000000)) + if "altitude" in item: + f_out.write(" %d\n" % item["altitude"]) + f_out.write(" \n" % str(datetime.fromtimestamp(int(item["timestampMs"]) / 1000).strftime("%Y-%m-%dT%H:%M:%SZ"))) + if "accuracy" in item or "speed" in item: + f_out.write(" \n") + if "accuracy" in item: + f_out.write(" Accuracy: %d\n" % item["accuracy"]) + if "speed" in item: + f_out.write(" Speed:%d\n" % item["speed"]) + f_out.write(" \n") + f_out.write(" \n") + lastloc = item + f_out.write(" \n") + f_out.write(" \n") + f_out.write("\n") + + f_out.close() + + else: + print("No data found in json") + return + + +# Haversine formula +def getDistanceFromLatLonInKm(lat1,lon1,lat2,lon2): + R = 6371 # Radius of the earth in km + dlat = deg2rad(lat2-lat1) + dlon = deg2rad(lon2-lon1) + a = math.sin(dlat/2) * math.sin(dlat/2) + \ + math.cos(deg2rad(lat1)) * math.cos(deg2rad(lat2)) * \ + math.sin(dlon/2) * math.sin(dlon/2) + c = 2 * math.atan2(math.sqrt(a), math.sqrt(1-a)) + d = R * c # Distance in km + return d + + +def deg2rad(deg): + return deg * (math.pi/180) + + +if __name__ == "__main__": + sys.exit(main(sys.argv)) From 1776b3e950f4c56f926af3bce27966fa3270d62e Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Wed, 29 Jun 2016 15:24:22 +0200 Subject: [PATCH 2/6] add converter function --- global.R | 33 +++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/global.R b/global.R index e7dd98c..452b033 100644 --- a/global.R +++ b/global.R @@ -79,3 +79,36 @@ rawData <- read_csv(file = "data/SelfPoints.csv") %>% formattedData <- formatData(rawData) +ZipPath <- "data/takeout-20160629T102959Z.zip" +google_jsonZip_to_DF <- function(ZipPath){ + + # Extract JSON from ZIP + ## Detecting files inside ZIP + zipFiles <- unzip(ZipPath, list = TRUE) + jsonPath <- zipFiles[grepl(zipFiles$Name,pattern = ".json"),] + ## Unzipping + unzip(ZipPath, files = jsonPath$Name, + overwrite = TRUE, + junkpaths = TRUE, + exdir = tempdir()) + extractedFile <- paste(tempdir(),basename(jsonPath$Name), sep = "/") + # Convert JSON to CSV + jsonFile <- tempfile(fileext = ".json") + ## Make sure not conflicting + file.rename(from = extractedFile, to = jsonFile) + csvFile <- tempfile(fileext = ".csv") + ## Python call + cmdCall <- sprintf("python %s %s --output %s --format csv", + "src/location_history_json_converter.py", + jsonFile, + csvFile) + system(cmdCall) + ## Clean + file.remove(jsonFile) + + # Read CSV + resultDF <- read_csv(csvFile) %>% + separate(Location, into = c("X", "Y"), sep = " ", remove = TRUE, convert = TRUE) +} + + From bb234b69ea971e6155c07dcabd2c2b85ecd56fbc Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Wed, 29 Jun 2016 15:45:24 +0200 Subject: [PATCH 3/6] finish data update remove rotten data clean --- data/SelfPoints.csv | 1936 +------------------------------------------ global.R | 7 +- test.R | 49 -- testDraw.R | 49 -- 4 files changed, 6 insertions(+), 2035 deletions(-) delete mode 100644 test.R delete mode 100644 testDraw.R diff --git a/data/SelfPoints.csv b/data/SelfPoints.csv index 75e7d11..da107b6 100644 --- a/data/SelfPoints.csv +++ b/data/SelfPoints.csv @@ -1,4 +1,4 @@ -X,Y,ID,timestamp,accuracy +X,Y,ID,Time,accuracy 2.3590546,48.8095663,1,2016-05-30 11:13:55,24 2.3591194,48.80956,2,2016-05-30 11:13:23,22 2.3591083,48.8095798,3,2016-05-30 11:12:53,21 @@ -175423,1937 +175423,3 @@ X,Y,ID,timestamp,accuracy 7.0544178,43.5621072,175422,2014-12-25 13:16:31,150 7.0544178,43.5621072,175423,2014-12-25 13:15:30,150 7.0544178,43.5621072,175424,2014-12-25 13:14:26,150 -======= -2.3590546,48.8095663,1,2016/05/30 11:13:55,24 -2.3591194,48.80956,2,2016/05/30 11:13:23,22 -2.3591083,48.8095798,3,2016/05/30 11:12:53,21 -2.359108,48.8095709,4,2016/05/30 11:12:22,21 -2.3590993,48.8095863,5,2016/05/30 11:11:50,21 -2.3590825,48.8095501,6,2016/05/30 11:11:19,33 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20:36:10,500 -2.2661006,48.8485073,1385,2016/05/26 20:34:09,500 -2.2661006,48.8485073,1386,2016/05/26 20:32:08,500 -2.266161,48.8459426,1387,2016/05/26 20:30:06,1188 -2.2661006,48.8485073,1388,2016/05/26 20:28:04,500 -2.2661006,48.8485073,1389,2016/05/26 20:25:56,500 -2.2661006,48.8485073,1390,2016/05/26 20:23:48,500 -2.2661759,48.8494496,1391,2016/05/26 20:21:50,500 -2.2661759,48.8494496,1392,2016/05/26 20:19:49,500 -2.2661759,48.8494496,1393,2016/05/26 20:15:46,500 -2.2661759,48.8494496,1394,2016/05/26 20:11:44,500 -2.2661759,48.8494496,1395,2016/05/26 20:09:44,500 -2.2661759,48.8494496,1396,2016/05/26 20:07:42,500 -2.2661759,48.8494496,1397,2016/05/26 20:05:42,500 -2.2661759,48.8494496,1398,2016/05/26 20:03:41,500 -2.2661759,48.8494496,1399,2016/05/26 20:01:40,500 -2.2661759,48.8494496,1400,2016/05/26 19:59:38,500 -2.2661759,48.8494496,1401,2016/05/26 19:57:37,500 -2.2661759,48.8494496,1402,2016/05/26 19:55:36,500 -2.2661759,48.8494496,1403,2016/05/26 19:53:35,500 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19:21:05,43 -2.2643963,48.8473823,1424,2016/05/26 19:19:05,42 -2.2645667,48.8473465,1425,2016/05/26 19:17:05,52 -2.2645567,48.8473631,1426,2016/05/26 19:14:57,50 -2.2646802,48.8473248,1427,2016/05/26 19:12:57,58 -2.2647518,48.8473223,1428,2016/05/26 19:10:56,62 -2.2647063,48.84735,1429,2016/05/26 19:10:36,58 -2.2647269,48.8473442,1430,2016/05/26 19:10:15,40 -2.2646962,48.8473002,1431,2016/05/26 19:08:13,45 -2.2647571,48.8472904,1432,2016/05/26 19:07:12,45 -2.2647952,48.8473295,1433,2016/05/26 19:06:11,26 -2.2647624,48.8473163,1434,2016/05/26 19:04:10,35 -2.264822,48.8473216,1435,2016/05/26 19:03:09,37 -2.2647675,48.8473223,1436,2016/05/26 19:02:07,36 -2.2647102,48.8472789,1437,2016/05/26 19:01:04,31 -2.2647591,48.8473567,1438,2016/05/26 18:59:04,60 -2.2647429,48.8473382,1439,2016/05/26 18:57:21,56 -2.2647422,48.8473393,1440,2016/05/26 18:55:38,49 -2.2647757,48.8472971,1441,2016/05/26 18:53:56,34 -2.2648042,48.8472984,1442,2016/05/26 18:53:06,23 -2.2647646,48.8473558,1443,2016/05/26 18:52:20,39 -2.2648195,48.8473081,1444,2016/05/26 18:51:16,36 -2.2650729,48.8471044,1445,2016/05/26 18:49:10,26 -2.2648043,48.8472895,1446,2016/05/26 18:48:53,34 -2.264804,48.8472983,1447,2016/05/26 18:46:58,35 -2.2648221,48.847307,1448,2016/05/26 18:45:15,36 -2.2647734,48.8472926,1449,2016/05/26 18:44:14,34 -2.2647476,48.8473226,1450,2016/05/26 18:43:13,61 -2.2647426,48.8473287,1451,2016/05/26 18:42:10,61 -2.2647124,48.8472934,1452,2016/05/26 18:40:09,40 -2.2647812,48.8473278,1453,2016/05/26 18:38:08,45 -2.2647467,48.8473412,1454,2016/05/26 18:37:48,45 -2.2647369,48.8473348,1455,2016/05/26 18:37:27,46 -2.2647517,48.8473241,1456,2016/05/26 18:35:45,46 -2.2647504,48.8473289,1457,2016/05/26 18:33:58,46 -2.2647729,48.8473335,1458,2016/05/26 18:33:14,45 -2.2648253,48.8473251,1459,2016/05/26 18:32:30,44 -2.2647813,48.8473359,1460,2016/05/26 18:31:05,44 -2.2647986,48.8473326,1461,2016/05/26 18:29:05,44 -2.2647607,48.8473491,1462,2016/05/26 18:27:05,44 -2.2647794,48.8473422,1463,2016/05/26 18:25:04,44 -2.2647757,48.8473345,1464,2016/05/26 18:23:04,44 -2.2648012,48.8473303,1465,2016/05/26 18:21:03,44 -2.2647141,48.8472929,1466,2016/05/26 18:19:03,40 -2.264722,48.8473257,1467,2016/05/26 18:17:03,20 -2.2647649,48.8473375,1468,2016/05/26 18:15:02,20 -2.2647563,48.847295,1469,2016/05/26 18:12:48,33 -2.2647955,48.847308,1470,2016/05/26 18:10:48,36 -2.2647538,48.8473252,1471,2016/05/26 18:09:49,62 -2.2648134,48.8473224,1472,2016/05/26 18:09:22,47 -2.2648423,48.8473514,1473,2016/05/26 18:07:43,26 -2.2647945,48.8473166,1474,2016/05/26 18:05:42,36 -2.2648104,48.8473186,1475,2016/05/26 18:05:21,37 -2.2647998,48.847277,1476,2016/05/26 18:03:21,33 -2.2648186,48.8473056,1477,2016/05/26 18:01:20,28 -2.2647829,48.8473155,1478,2016/05/26 17:59:10,64 -2.2647544,48.8473178,1479,2016/05/26 17:57:09,35 -2.2647488,48.8473145,1480,2016/05/26 17:55:09,20 -2.2647499,48.8472889,1481,2016/05/26 17:54:49,33 -2.264741,48.8472719,1482,2016/05/26 17:54:28,31 -2.2647531,48.8473138,1483,2016/05/26 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formatData <- function(rawData){ - rawData %>% + formattedData <- rawData %>% # mutate(time = parse_datetime(Time, format = "%Y/%m/%d %H:%M:%S")) %>% mutate(jour = day(Time)) %>% mutate(jourN = factor(weekdays(Time, abbreviate = TRUE), levels = joursFr)) %>% @@ -43,6 +43,10 @@ formatData <- function(rawData){ mutate(heure = hour(Time)) %>% mutate(minute = minute(Time)) %>% mutate(dhour = hour(Time) + minute(Time) / 60 + second(Time) / 3600) + if (nrow(formattedData) > 50E3){ + formattedData <- formattedData %>% + sample_n(size = 50E3) + } } theme_timelineEDB <- function() { @@ -73,7 +77,6 @@ theme_timelineEDB <- function() { rawData <- read_csv(file = "data/SelfPoints.csv") %>% - rename(Time = timestamp) %>% select(Time, X, Y) formattedData <- formatData(rawData) diff --git a/test.R b/test.R deleted file mode 100644 index 845233c..0000000 --- a/test.R +++ /dev/null @@ -1,49 +0,0 @@ -densityPlot <- ggplot(formattedData, aes(dhour)) + - geom_density(col = "black", fill = "green", alpha = 0.3, adjust = 0.75) + - scale_x_continuous("Heure",breaks = c(0,6,12,18,24), minor_breaks = c(3, 9, 15, 21)) + - scale_y_continuous("Densité", labels = scales::percent) + - theme_timelineEDB() - -densityPlot + theme(panel.grid.major = element_line(colour = "gray50", - size = 0.3, linetype = "longdash"), panel.grid.minor = element_line(colour = "gray30", - size = 0.1, linetype = "dotdash"), panel.background = element_rect(fill = "black")) - -if (length(locationData$geofiltred)>1){ - densityPlot <- densityPlot + - geom_density(data = locationData$geofiltred, aes(dhour), - col = "red", fill = "red", alpha = 0.3, - adjust = 0.75) -} -densityPlot - - - -mapData <- formattedData -dataLength <- nrow(mapData) -map <- leaflet(mapData %>% mutate(X = round(X, digits = 3), Y = round(Y, digits = 3))) %>% - addProviderTiles('CartoDB.DarkMatter', group = "DarkMatter") %>% - addMarkers(lng = ~X, lat = ~Y, clusterOptions = markerClusterOptions(), group = "Clusters") %>% - hideGroup("Clusters") %>% - addHeatmap(layerId = "heatmap", lng = ~X, lat = ~Y, - intensity = (1/dataLength) * 10 , minOpacity = 0.3, - radius = 5, blur = 5, gradient = "GnBu") %>% - fitBounds(2.359, 48.810 ,2.359 , 48.810) - -map - -abc <- ggplot(formattedData, aes(x = jour, y = mois)) + geom_point() - - - -homeData <- formattedData %>% - filter(heure > 19 | heure < 8) %>% - filter(mois != 7, mois != 8) %>% - mutate(Xround = round(X, 3)) %>% - mutate(Yround = round(Y, 3)) %>% - group_by(Xround, Yround) %>% - summarise(count = n()) %>% - ungroup() %>% - arrange(desc(count)) %>% - top_n(1) - -leaflet() %>% diff --git a/testDraw.R b/testDraw.R deleted file mode 100644 index 4b38165..0000000 --- a/testDraw.R +++ /dev/null @@ -1,49 +0,0 @@ -library(shiny) -library(miniUI) -library(leaflet) - - ui <- miniPage( - gadgetTitleBar("leaflet Draw"), - miniContentPanel( - leafletOutput("mymap") - ) - ) - - server <- function(input, output, session) { - - myMap <- reactive({ - return(leaflet() %>% - addTiles() %>% - addDrawToolbar(polyline = FALSE, polygon = FALSE, rectangle = TRUE, circle = FALSE, - marker = TRUE, edit = TRUE, remove = TRUE)) - }) - - # Define reactive expressions, outputs, etc. - output$mymap <- renderLeaflet({ - myMap() - }) - - observeEvent(input$mymap_drawnItems_created, { - output$mymap <- renderLeaflet({ - if( "radius" %in% names(input$mymap_drawnItems_created$properties)) - { - lng = input$mymap_drawnItems_created$geometry$coordinates[[1]] - lat = input$mymap_drawnItems_created$geometry$coordinates[[2]] - radius = input$mymap_drawnItems_created$properties$radius - myMap() %>% addCircles(lng = lng, lat = lat, radius = radius, color="green") - } - else{ - myMap() %>% addGeoJSON(input$mymap_drawnItems_created, color="green") - } - }) - - print(123) - }) - - # When the Done button is clicked, return a value - observeEvent(input$done, { - print(input$mymap) - stopApp() - }) - } - runGadget(ui, server) From 8a77e8c5630107b7be98cff9b2458f2b37f65078 Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Wed, 29 Jun 2016 16:24:47 +0200 Subject: [PATCH 4/6] Adding user Data read as fileInput, going to change --- global.R | 7 ++++++- server.R | 8 ++++++-- ui.R | 2 +- 3 files changed, 13 insertions(+), 4 deletions(-) diff --git a/global.R b/global.R index 866ed1a..8ee6e60 100644 --- a/global.R +++ b/global.R @@ -8,6 +8,8 @@ library(leaflet) # For now : devtools::install_github("RCura/leaflet") library(ggthemes) library(ggmap) +options(shiny.maxRequestSize = 8*1024^2) + moisFr <- c( "janv.", "févr.", @@ -111,7 +113,10 @@ google_jsonZip_to_DF <- function(ZipPath){ # Read CSV resultDF <- read_csv(csvFile) %>% - separate(Location, into = c("X", "Y"), sep = " ", remove = TRUE, convert = TRUE) + separate(Location, into = c("Y", "X"), sep = " ", remove = TRUE, convert = TRUE) + + # Format it correctly + formatData(resultDF) } diff --git a/server.R b/server.R index c6535c3..e2a98e9 100644 --- a/server.R +++ b/server.R @@ -3,14 +3,18 @@ library(shiny) shinyServer(function(session, input, output) { locationData <- reactiveValues( - raw = rawData, base = formattedData, geofiltred = NA, timefiltred = NA ) analysisData <- reactiveValues(homePoint = NA, workPoint = NA) - + observe({ + req(input$userData) + locationData$base <- google_jsonZip_to_DF(input$userData$datapath) + locationData$geofiltred <- NA + locationData$timefiltred <- NA + }) output$map <- renderLeaflet({ mapData <- locationData$base diff --git a/ui.R b/ui.R index b2058e7..76e8682 100644 --- a/ui.R +++ b/ui.R @@ -72,7 +72,7 @@ shinyUI( ), column( 11, - actionButton("userData", "Explorez vos propres données", width = "100%") + fileInput("userData", "Explorez vos propres données", width = "100%") )), fluidRow( HTML( From 512fde599fa5462a323d56e59077c99a2985a3cd Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Wed, 29 Jun 2016 17:51:15 +0200 Subject: [PATCH 5/6] add UserData settings + take tz into account --- global.R | 9 +++++---- server.R | 4 ++-- ui.R | 32 ++++++++++++++++++++++---------- www/timelineEDB.css | 5 +++++ 4 files changed, 34 insertions(+), 16 deletions(-) diff --git a/global.R b/global.R index 8ee6e60..55d228d 100644 --- a/global.R +++ b/global.R @@ -34,9 +34,10 @@ colorPalette <- colorNumeric( ) -formatData <- function(rawData){ +formatData <- function(rawData, tz){ formattedData <- rawData %>% # mutate(time = parse_datetime(Time, format = "%Y/%m/%d %H:%M:%S")) %>% + mutate(Time = with_tz(Time, tzone = tz)) %>% mutate(jour = day(Time)) %>% mutate(jourN = factor(weekdays(Time, abbreviate = TRUE), levels = joursFr)) %>% mutate(mois = month(Time)) %>% @@ -81,11 +82,11 @@ theme_timelineEDB <- function() { rawData <- read_csv(file = "data/SelfPoints.csv") %>% select(Time, X, Y) -formattedData <- formatData(rawData) +formattedData <- formatData(rawData, "Europe/Paris") ZipPath <- "data/takeout-20160629T102959Z.zip" -google_jsonZip_to_DF <- function(ZipPath){ +google_jsonZip_to_DF <- function(ZipPath, tz){ # Extract JSON from ZIP ## Detecting files inside ZIP @@ -116,7 +117,7 @@ google_jsonZip_to_DF <- function(ZipPath){ separate(Location, into = c("Y", "X"), sep = " ", remove = TRUE, convert = TRUE) # Format it correctly - formatData(resultDF) + formatData(resultDF, tz) } diff --git a/server.R b/server.R index e2a98e9..cdfe6aa 100644 --- a/server.R +++ b/server.R @@ -11,11 +11,11 @@ shinyServer(function(session, input, output) { observe({ req(input$userData) - locationData$base <- google_jsonZip_to_DF(input$userData$datapath) + locationData$base <- google_jsonZip_to_DF(input$userData$datapath, input$timezone) locationData$geofiltred <- NA locationData$timefiltred <- NA }) - + output$map <- renderLeaflet({ mapData <- locationData$base dataLength <- nrow(mapData) diff --git a/ui.R b/ui.R index 76e8682..931a9da 100644 --- a/ui.R +++ b/ui.R @@ -62,18 +62,30 @@ shinyUI( ) ) ), - fluidRow(column( - 1, - tags$a( - icon(name = "question-circle", class = "fa-3x", lib = "font-awesome"), - href = "javascript:void(0);", - onclick = "userDataIntro();" + fluidRow( + tags$input(id = "userSettings", type = "checkbox", class = "inv-checkbox"), + tags$label('for' = "userSettings", span("Explorez vos propres données", class = "btn btn-info"), + onclick = "userDataIntro();"), + tags$a( + icon(name = "question-circle", class = "fa-3x", lib = "font-awesome"), + href = "javascript:void(0);", + onclick = "userDataIntro();" + ) + ), + fluidRow( + conditionalPanel(condition = "input.userSettings == true", + fluidRow(fileInput("userData", + label = "Chargez vos données", + multiple = FALSE, + accept = "application/zip", + width = "100%")), + fluidRow(selectInput("timezone", label = "Fuseau horaire", + choices = lubridate::olson_time_zones(), + multiple = FALSE, + selected = "Europe/Paris", + selectize = FALSE)) ) ), - column( - 11, - fileInput("userData", "Explorez vos propres données", width = "100%") - )), fluidRow( HTML( "Timeline EDB a été développé par", diff --git a/www/timelineEDB.css b/www/timelineEDB.css index 362b892..b0d9cf6 100644 --- a/www/timelineEDB.css +++ b/www/timelineEDB.css @@ -11,4 +11,9 @@ .inv-checkbox { display:none; +} + +.btn{ +border-radius: 0px; +width: 100%; } \ No newline at end of file From 54ce5e15557d3f4b84b789870308fced58e04121 Mon Sep 17 00:00:00 2001 From: Robin Cura Date: Wed, 29 Jun 2016 18:34:03 +0200 Subject: [PATCH 6/6] Better doc --- ui.R | 1 + www/CustomIntro.js | 25 ++++++++++++++++++++++--- www/timelineEDB.css | 9 ++++++++- 3 files changed, 31 insertions(+), 4 deletions(-) diff --git a/ui.R b/ui.R index 931a9da..9131399 100644 --- a/ui.R +++ b/ui.R @@ -67,6 +67,7 @@ shinyUI( tags$label('for' = "userSettings", span("Explorez vos propres données", class = "btn btn-info"), onclick = "userDataIntro();"), tags$a( + id = "userDataHelp", icon(name = "question-circle", class = "fa-3x", lib = "font-awesome"), href = "javascript:void(0);", onclick = "userDataIntro();" diff --git a/www/CustomIntro.js b/www/CustomIntro.js index 1bc4679..07952c3 100644 --- a/www/CustomIntro.js +++ b/www/CustomIntro.js @@ -96,14 +96,33 @@ function startIntro(){ intro.start(); } - - function userDataIntro(){ var introUserData = introJs(); introUserData.setOptions({ steps: [ { - intro: "Bienvenue dans l'application TimeLine Exploratory DashBoard!" + intro: "Vous pouvez maintenant explorer vos propres données, si toutefois Google en possède sur vous !" + }, + { + intro: "Pour cela, rendez-vous sur la page suivante et connectez-vous avec votre compte Google:
https://www.google.com/maps/timeline. Vous pourrez alors revenir sur l'application TimeLine EDB." + },{ + intro: "Si des données se sont bien affichées, il va falloir les télécharger depuis le serveur de Google afin de les insérer dans l'application." + },{ + intro: "Pour se faire, allez sur la page suivante, laissez les options par défaut, et cliquez sur Suivant." + },{ + intro: 'Vous pouvez alors cliquer sur "Créér une archive" et attendre que le fichier zip vous soit proposé en téléchargement.' + },{ + intro: "Une fois ce zip téléchargé, vous pourrez l'entrer dans l'application." + }, + { + element: '#userData', + intro: "En cliquant sur ce menu." + }, + { + intro: "Tous les graphiques et la carte se mettront alors à jour avec vos propres données. Bonne exploration avec TimeLine EDB !" + },{ + element: "#userDataHelp", + intro: "Retrouvez ce tutoriel à tout moment en cliquant sur cette icône." }], tooltipPosition: 'auto', tooltipClass:'customDefault', diff --git a/www/timelineEDB.css b/www/timelineEDB.css index b0d9cf6..4851e32 100644 --- a/www/timelineEDB.css +++ b/www/timelineEDB.css @@ -4,6 +4,12 @@ .customDefault { color: black; } + +.introjs-tooltiptext a:link { + color: blue; + text-decoration: none; +} + .customDefault .introjs-skipbutton { border-radius: 0; color: red; @@ -16,4 +22,5 @@ .btn{ border-radius: 0px; width: 100%; -} \ No newline at end of file +} +