main.py debug disabled by default, Readme finished
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2
main.py
2
main.py
@@ -4,7 +4,7 @@ import utime
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import WiFi
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gc.collect()
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_DEBUG = True
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_DEBUG = False
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wifi_con = WiFi.NetSet('infra')
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wifi_con.readNetworkConfig()
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105
readme.md
105
readme.md
@@ -17,7 +17,7 @@ push them directly to an InfluxDB instance via WiFi.
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- 5V / 3.3V source, depending on what version of ESP you get. A stable 3.3V is preferred
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##Quick setup of HW:
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###1, Interconnect these pins:
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###1. Interconnect these pins:
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ESP8266 | ESP8266 description | CC1101 | CC1101 description |
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|-------|---------------------|--------|--------------------|
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@@ -33,13 +33,13 @@ ESP8266 | ESP8266 description | CC1101 | CC1101 description |
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IO pin, currently configured as interrupt, when new packet is received (i.e. goes HIGH).
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The functionality is currently just to light up a led, interrupt based receive is not implemented.
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###2, Clone this repo, get Micropython
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###2. Clone this repo, get Micropython
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```
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git clone https://bastart.spoton.cz/git/Ventil/esp8266_CC1101_davis_vantage_vue.git
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cd esp8266_CC1101_davis_vantage_vue
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wget https://micropython.org/resources/firmware/esp8266-20191220-v1.12.bin -P /tmp
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```
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###3, Upload Micropython, check
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###3. Upload Micropython, check
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Need to delete the flash first, then write the custom firmware.
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You need to determine which device is the one
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to write to. If you have only one ESP8266, you are probably safe to use the ttyUSB0,
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@@ -120,7 +120,7 @@ Terminal ready
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```
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Exit from the console with Ctrl + A + X or ampy will not be able to list files
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on the esp8266
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###4, Freeze modules, or just upload the .mpy files
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###4. Freeze modules, or just upload the .mpy files
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You can simply upload all the modules in question. If you modify anything in the .py
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files, you need to freeze them again with mpy-cross <filename>
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```
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@@ -137,7 +137,7 @@ WiFi.mpy <-- the newly compiled (frozen) module
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WiFi.py
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```
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###5, Modify inet.conf
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###5. Modify inet.conf
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Before uploading the inte.conf, please change it to your desired values.
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###6, Upload files
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```
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@@ -154,7 +154,16 @@ Before uploading the inte.conf, please change it to your desired values.
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/main.py
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```
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###7, Restart esp8266, check data on serial
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###7. If you haven't already, create 2 DBs in inclux
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I am tempted to push the raw, undecoded data to a DB as well, but influx is not siutd for this. You can ignore the last DB creation
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```
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ssh 192.168.1.2
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influx
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create database weather
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create database status
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create database raw
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```
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###8. Restart esp8266, check data on serial
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```
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picocom -b 115200 /dev/ttyUSB1
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picocom v3.1
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@@ -273,7 +282,89 @@ DATA SEND: 204
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Header: {'bat_low': 0, 'packet_id': 8, 'davis_id': 0} Wind: {'speed': 25.7, 'direction': 326.2}
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temphumi: temperature/13.2 ({'type': 'external'})
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```
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And with '_DEBUG' set to False on line 7, in main.py:
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You can see the raw data that are comming in from the Davis weather station.
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###8, explore data in Influx
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```
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>>>
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MPY: soft reboot
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Trying... 15 more times
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0 17 244 212 193 138 98 76 255 255 HOP: 0 RSSI: -68 LQI: 127
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224 13 3 17 3 3 32 253 255 255 HOP: 1 RSSI: -68.5 LQI: 127
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80 13 5 255 112 2 10 211 255 255 HOP: 2 RSSI: -68 LQI: 127
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128 9 236 34 203 2 181 206 255 255 HOP: 3 RSSI: -68.5 LQI: 127
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160 11 252 106 43 2 123 92 255 255 HOP: 4 RSSI: -69 LQI: 127
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224 13 247 17 3 6 37 228 255 255 HOP: 0 RSSI: -68.5 LQI: 127
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80 12 6 255 113 2 8 111 255 255 HOP: 1 RSSI: -69 LQI: 127
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128 9 239 34 203 3 62 51 255 255 HOP: 2 RSSI: -70 LQI: 127
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32 8 232 212 195 128 93 215 255 255 HOP: 3 RSSI: -70.5 LQI: 127
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224 6 239 17 3 3 7 218 255 255 HOP: 4 RSSI: -69.5 LQI: 127
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80 7 237 255 115 7 72 162 255 255 HOP: 0 RSSI: -69 LQI: 127
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128 9 14 34 203 0 252 14 255 255 HOP: 1 RSSI: -68.5 LQI: 127
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```
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If you are interested in the packet format, please:
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```
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Header byte0 byte1 byte2 byte3 byte4 byte5 byte6 byte7 byte8 Freq Sig_strength Link_quality
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224 13 3 17 3 3 32 253 255 255 HOP: 1 RSSI: -68.5 LQI: 127
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```
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###9, explore data in Influx
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You're all set, let's look at the data
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```
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ssh 192.168.1.2
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influx
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> use weather
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Using database weather
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> select * from wind where time > now() - 1m group by type
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name: wind
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tags: type=direction
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time davis_id value
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---- -------- -----
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1590755264047546640 0 23.8
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1590755266495686261 0 12.6
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1590755269170611760 0 315
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1590755271670765583 0 4.2
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1590755274297615725 0 340.2
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1590755276695612090 0 351.4
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1590755279347820779 0 14
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1590755282048791933 0 14
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1590755284420807397 0 5.6
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1590755287147874950 0 5.6
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1590755289521471177 0 25.2
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1590755292271754999 0 323.4
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1590755294748104920 0 351.4
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1590755297195883784 0 350
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1590755302322174318 0 330.4
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1590755317723159515 0 333.2
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1590755320496027169 0 341.6
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name: wind
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tags: type=speed
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time davis_id value
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---- -------- -----
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1590755264047546640 0 20.9
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1590755266495686261 0 20.9
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1590755269170611760 0 16.1
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1590755271670765583 0 25.7
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1590755274297615725 0 24.1
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1590755276695612090 0 22.5
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1590755279347820779 0 24.1
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1590755282048791933 0 22.5
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1590755284420807397 0 20.9
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1590755287147874950 0 17.7
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1590755289521471177 0 20.9
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1590755292271754999 0 22.5
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1590755294748104920 0 19.3
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1590755297195883784 0 22.5
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1590755302322174318 0 20.9
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1590755317723159515 0 11.3
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1590755320496027169 0 12.9
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name: wind
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tags: type=windgust
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time davis_id value
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---- -------- -----
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1590755279347820779 0 25.7494
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```
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### Optionally, get grafana to plot the graphs for you
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