def openQuery(station_id, year):
    query = am.Query(
        where=f"sample_date>=01.01.{year} and sample_date<=31.12.{year}",
        stations=[station_id],
        table="water_chemistry_input")
    query.createQuery()
    return query.key
def insertValues(original, method_id, pairs):
    for value in am.Query(key=key).list():
        for pair in pairs:
            if value["Method"]["Name"] == original \
                              and value["Sample"]["SampleDate"] == pair["Date"]:
                if value["Approved"]:
                    value["Approved"] = False
                    value["Remark"] = "OKA: Erstattet med korrigert verdi"
                    print(
                        am.putJson(
                            token, am.aqua_site +
                            f"/api/waterchemistry/{value['Id']}", value))
                    #print(value)
                new_value = {
                    "Sample": {
                        "Id": value["Sample"]["Id"]
                    },
                    "Method": {
                        "Id": method_id
                    },
                    "Value": pair["Value"],
                    "Approved": True
                }
                print(
                    am.postJson(token, am.aqua_site + "/api/waterchemistry",
                                new_value))
def approveValues(name, dates):
    for value in filter(
            lambda wc: wc["Method"]["Name"] == name and wc["Sample"][
                "SampleDate"] in dates,
            am.Query(key=key).list()):
        value["Approved"] = True
        value["Remark"] = ""
        am.putJson(token, am.aqua_site + f"/api/waterchemistry/{value['Id']}",
                   value)
        print(value)
def disapproveValues(name, dates):
    for value in filter(
            lambda wc: wc["Method"]["Name"] == name and wc["Sample"]["Depth1"]
            == 1 and wc["Sample"]["Depth2"] == 1 and wc["Sample"]["SampleDate"
                                                                  ] in dates,
            am.Query(key=key).map()):
        if value["Approved"]:
            value["Approved"] = False
            value["Remark"] = "OKA: Tas ut"
            print(
                am.putJson(token,
                           am.aqua_site + f"/api/waterchemistry/{value['Id']}",
                           value))
Exemplo n.º 5
0
def generate_map(stationId):
    result = am.Query("station_id = " + str(stationId),
                      table="Metadata").list()
    print(result.pages)

    for i in range(result.pages):
        meta = result.fetch(i)
        for m in meta:
            sid = m["_Id"]
            lon = m["_Longitude"]
            lat = m["_Latitude"]
            if lon > 24:
                epsg = 32635
            elif lon > 18:
                epsg = 32634
            elif lon > 12:
                epsg = 32633
            else:
                epsg = 32632
            x, y = transform(Proj(init="epsg:4326"),
                             Proj(init="epsg:" + str(epsg)), lon, lat)

            bbox = str(x - 3000) + "," + str(y - 3000) + "," + str(
                x + 3000) + "," + str(y + 3000)
            width = 300
            height = 300
            resp = requests.get(
                geoserverUrl + "/wms?" +
                "service=WMS&version=1.1.0&request=GetMap&" +
                "layers=no.norgedigitalt:kartdata,no.niva.aquamonitor:Innsjo_stations&"
                + "styles=,&bbox=" + bbox + "&width=" + str(width) +
                "&height=" + str(height) + "&srs=EPSG:" + str(epsg) +
                "&format=image%2Fpng",
                stream=True,
                auth=("aquamonitor", "trommer"))

            if resp.status_code == 200:
                with open("C:/Innsjo2019/kart/" + str(sid) + ".png",
                          "wb") as f:
                    for chunk in resp:
                        f.write(chunk)
            else:
                print("Id:" + str(sid) + " error code:" +
                      str(resp.status_code))
Exemplo n.º 6
0
def download_am_file():
    am.Query("project_id=" + str(projectInnsjo2019))\
        .makeArchive("excel", "am1000sjoer.xlsx")\
        .download("c:/Innsjo2019/")
__author__ = 'Roar Brenden'

import aquamonitor as am
token = am.login()
site = "mjosovervak"
where = "project_id=1098 and sample_date>01.01.2020 and sample_date<=31.12.2020 and Plankton.parameter_id=2"
width = 650
height = 300
root = "C:/temp/"

for station_id in am.Query(where=where).list():
    file = root + "plankton_" + str(station_id) + ".png"
    am.Graph(width, height, token=token, site=site, graph='/Graph/Stolpediagram.ashx', stationId=station_id,
             parameter='Plankton;2', where=where)\
        .download(file)
Exemplo n.º 8
0
# Test
#am.host = "https://test-aquamonitor.niva.no/"

#list = am.Query("project_id = 9566").list()
#print(list)
#gl_params = []

# stations = am.Query("project_id = 86 and sample_date > 01.01.1990 and sample_date <= 31.12.2016 and datatype=Plankton")\
#                       .map("Stations")
# for stat in stations:
#     print(stat)

#am.Query("project_id = 9566 and sample_date > 01.01.2016 and sample_date <= 31.12.2016")\
#            .makeArchive("excel", "Mjosa_2016.xlsx")\
#            .download("/Users/roar/Mjosa/")

pages = am.Query("project_id = 12433 and sample_date > 01.01.2019 and sample_date <= 31.12.2019",
                 table="water_chemistry_output")\
                        .pages()

print(pages.total)
#
# This is the result of the call for query/{key}/water_chemistry_output
# The resultset can be obtained by iterating over all the pages given by chemistry.Pages
# The path for a page would be query/{key}/water_chemistry_output/{page}
# Page is 0-based
# The key is hidden within AquaMonitor.Query.key

tenth = pages.fetch(9)
print(tenth)
def filterMethod(key, name):
    return filter(lambda c: c["Method"]["Name"] == name,
                  am.Query(key=key).map())
def printQuery(key):
    am.Query(key=key).map(print)